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Data Analytics vs. Big Data vs. Data Science – A detailed comparison

In the digital world, the volume of unstructured data is rising every day. With this elephantine data, various avenues have been developed in the Big Data landscape, including Data Analytics and Data Science. Although people generally use the terms interchangeably, all of them perform varying but significant jobs. Also, there is a huge difference between these concepts.

To know the difference between these three jargon, let us first understand data. The collection of facts, as well as bits of information, is known as data. There are two types of datastructured and unstructured data.

  • Structured data is the one that has a well-defined structure and order. Because it is well-defined and consistent, it is easy to store as well as access it.
  • Unstructured data is the inconsistent type of data that does not have any format, sequence, and structure. It is error-prone when indexing is performed on it. This is why it is not easy to operate and understand unstructured data.

Data is amongst the biggest assets a company possesses in the current time. Consider bank payments. When you shop online, merchants collect your data related to your transactions, as well as of other shoppers, like

  •  Mode of payment
  • Time of transaction
  • Date of payment
  • Amount
  • Frequency

Then, the merchants analyze this data and make data products based on these parameters, which exclude customers’ personal information. These data products are then sold to banks that use this information to target potential customers by offering exciting offers to them based on these data products. As a result, they are able to increase their customer base.

Understanding Big Data

Big Data refers to a significant amount of data and deals with complex and large sets of data that conventional data processing systems cannot handle. Big Data has techniques and tools that extract structured, semi-structured, and unstructured data, store this data systematically, and then produce useful information from it. There are six characteristics of Big Data, which are mentioned below.

Variety – There is a wide range of data collected from various sources, which can be videos, images, audio files, unstructured data, or documents. Big Data tolls help in processing all types of data.

Volume – The volume of data generated each day from various sources is immense. Using Big Data tools, storing huge amounts of data has become easier.

Veracity – This relates to the quality of data collected. Businesses should take care of data quality while gathering it so that information is relevant.

Velocity – The number of users of the internet is growing aggressively in the digital era. Because of this, the velocity of data generation gets enhanced. Velocity here means how fast data generation along with its processing is occurring. Velocity is used to comprehend trends in data as well as meet market demands.

Variability – Market trends keep on changing, and how often they change implies variability. Big Data aids in managing it that benefits businesses to design and offer the latest products.

Value – The aim of Big Data is to collect data that is valuable for the business. This helps them increase their profits and compete in the market.

Read Also – How Big Data Analytics Can Create a Billion-Dollar Mobile App UX?

Understanding Data Analytics

The aim of Data Analytics is to give operational insight into complicated business situations. The primary concern of data analyst is to look into historical data from a contemporary perspective and then, find challenging and new business scenarios to develop the data analytics solutions. After doing so, they apply powerful methodologies to search for better solutions.

A data analyst predicts upcoming opportunities that can be exploited by the company. So, the duties of a data scientist and a data analyst are similar to one another. But they vary in the way they are implemented. This is how a data analyst functions –

  • A data analyst collects data for their company from different sources.
  • They perform the exploratory Data Analytics for visualizing the data.
  • The data analyst then cleans and filters the data by checking reports made with the help of Data Analytics tools.
  • Then, the data is examined with a data visualization tool.
  • They also build useful strategies for optimizing the data’s statistical analysis.
  • This helps businesses note down the market trend or growth.

Read Also –  How to Build Successful Mobile Apps using Big Data?

Understanding Data Science

You can understand Data Science as the dicing and slicing of huge chunks of data. Data Science uses techniques for obtaining insightful trends and patterns from the data. It is the responsibility of a data scientist to uncover hidden facts in the complicated web of unstructured data. This is important because it helps in making crucial business decisions as per the market trends.

Data Science involves making of Machine Learning models as well. To understand Data Science deeply, let us understand how its life cycle.

Knowing business needs – Data scientists perform a structural analysis of a business model. They understand customer needs and market trends. This allows them to understand business requirements.

Gathering data – On the basis of business requirements, Data Science involves the collection of relevant data.

Data comprehension – After collecting data, understanding it using visualization techniques and tools is the next step.

Preparation of data – The data functions as a basis for creating an effective model and strategy. So, it needs to be prepared accordingly.

Creation of system – Using Machine Learning, Data Science helps in building models and systems on the basis of the prepared dataset. These models are used to fulfill their business needs.

Evaluation of system – Making the system is not sufficient, assessing its accuracy is also important.

Implementation of the system – After checking the system’s performance, it is placed for implementation. After that, the system is implemented.

Read Also –  How Artificial Intelligence, Data Science, And Technology Are Being Used To Fight The Coronavirus Pandemic?

How Are Data Analytics, Big Data, And Data Science Different?

The three concepts are contrastingly different from one another but they work together closely and deal with the same thing i.e. data. Big Data refers to gigantic and complex data sets, and deals in the types of data formed (unstructured or structured), volumes of data created, and the rate at which data is generated. Its application areas are communication, retail, financial services, and education industries.

Data Analytics refers to the procedure of analyzing data sets to draw meaningful conclusions and information from it by using specialized software and systems. The techniques and technologies of Data Analytics are broadly utilized in the commercial industries to allow businesses to make better business decisions. Data Analytics can also be understood as the process of comprehending and devising effective trends from recorded data utilizing statistics, predictive modeling, mathematics, and machine learning techniques.

Data Science refers to the interdisciplinary field about scientific processes, systems, and methods to extract insights and knowledge from raw data in different forms. In simpler terms, it is a combination of programming, statistics, problem-solving skills, and mathematics for looking at things differently, deriving trends from data, cleaning it, preparing it, and aligning the data in order to retrieve valuable information and insights from the raw data.

Conversational AI: The Next Frontier of Digital Transformation in Healthcare

In Healthcare Industry the AI-powered conversation Chatbot is offering patients a convenient way for remediating from personalized care and improved medication experiences. The present-day AI Chatbots are built to be user-friendly and can easily track the personal health data of a user participant based on the conversation itself. With the prompt level of answers and information accrued from AI Chatbots it should be only a matter of time when most people would become health conscious and dependent upon chatbot interactions. This should achieve the healthcare digital transformation trends with certainty accompanied by ‘n’ number of AI-based voice assistants and chatbots.

Moreover a lot of savvy healthcare organizations are making plans strategically to deploy conversational AI chatbots for providing customer support and also towards extending their patient engagement services. Early adopters get one real advantage by using conversational Artificial Intelligence in healthcare is that they can access to clinical engagement and better know their patient’s wellbeing in advance.

Essentially the benefits of digital transformation in healthcare is a prolonged journey where the level of trustworthiness has to be raised through removing the wide presence of legacy systems and start moving towards a modern healthcare infrastructure.

Some of the mentioned below AI Chatbot Assistants and Utilities are the upcoming new frontiers of digital transformation in the healthcare industry:

1. AI Chatbot Administration

The use of AI Chatbot is aplenty and utilizing them for guiding visitors on healthcare websites is simply tremendous. It should enable users to easily access to all healthcare services quite efficiently. Things would get more convenient for patients when it comes to scheduling appointments, reminders, and reordering medical prescriptions.

Typically chatbots are imposed with only a fewer level of privacy along with HIPAA restrictions which will leave every user to confidently ask for all kinds of health-related issues without any hesitation. This kind of chatbot application will soon provide the patients with a strict level of administration and customer support facility that can be expected anytime in the near horizon.

Read Also – How Digital Health Technology Can Help in Managing The Coronavirus Outbreak?

2. Patient Engagement

Normally chatbots were used actively in capturing customers and now with the integration of AI in healthcare this tool might be well utilized for captivating patient’s interest all through sending precise answers and extending the tech support for the wellbeing of homecare patients. The virtual connection between the chatbot and patient is strengthened literally with the presence of artificial intelligence technology along with symptom-based treatments. On the contrary when visiting a doctor for diagnosing a patient more often than not the end result is likely to be a follow-up journal without any imparted knowledge on the infectious disease thus making things even worse.

Therefore conversational AI for healthcare is forecasted to be a reliable solution for the infected patient earning them the immediate sigh of relief instantaneously. In this highly demanding world, the healthcare industries are in a helpless state and enforced to progress with digital transformation trends and meet up to consumer’s healthcare expectations through deploying Conversational AI bots.

3. Mental Health

The good purpose of developing an AI chatbot for healthcare is to essentially bring the humanized experience for patients. These levels of mutual interactions result in solving the anxiety of a patient and then build better mental health. The patient also gets the freedom to share their personnel experiences with the chatbot and then progress ahead to lead a healthy way of existence.

In addition, the patient can also request for a more medical experience that relates to the prior discussion with AI chatbot and then join in a call conversation with a healthcare professional and resolve painstaking issues at great clarity.

Read Also – What the Future of Digital Health Looks Like in 2020?

4. Research Treatments

Conversational AI is built-in with an ability to machine learn and then utilize the power of data remarkably well to produce the IT Solutions for Healthcare Industry. While a patient is seeking help it will be literally difficult for doctors to furnish the bearer with all the experimental solutions at once without the use of AI & ML technologies. It is also true for the healthcare researcher who engages in finding the right solution.

Beyond these technical complexities all the data presentations will become readily available in automated forms that having incredible AI outreach and support. No wonder this automation process will have compatibility freely across AI voice assistance and deliver information regarding treatment solutions in a more personalized way.

5. Claims and Billing

Basically doing with the claim procedures of medical bills or even an insurance policy is rather a cumbersome task. With the presence of Conversational AI these tasks can be easily done. The significance of using an AI chatbot is that you can effortlessly know the detailed coverage of insurance fund that is on offer and help patients to make easier claims with a status tracking facility. It will speed up the treatment procedures for a patient with Conversational AI promptly updating their medical claims to doctors prior in hand for making excellent service.

Read Also – Why Should Every Hospital Need Hospital Management System Software?


The integration of conversational AI into healthcare will definitely see a phenomenal change in the way every patient is getting treated along with the efficacy of doctors and nurses attending patients. However the AI chatbots are much more powerful with HIPAA compliance and can get the intuitiveness for offering to be a potential diagnostic tool in the healthcare industry.

Despite these medical advancements the present-day AI chatbots are still offering a reduced staff load with the low overhead cost for hospitals and thus serving patient’s disease clinically with greater transparency to other fellow staff members and visitors. It should urge hospitals to go for a Healthcare App development company and build the most demanding IT Solutions for their patients and consumers all the while endlessly.

All You Need To Know About Automation Testing Life Cycle

One of the biggest challenges that the project developers and managers face these days is the challenge of creating applications with the least possible resources and on a tight schedule. Regardless of that, the organizations still have to make sure that the applications are tested thoroughly and adequately. And, automation testing is the one thing that is letting the organizations to successfully do this.

The common notion is that Automation Testing is just another part of the Software Development Life Cycle, but getting the best possible results with it is only possible when the entire cycle of testing is followed to the T. This entire cycle of automation testing is called the Automation Testing Life Cycle.

So, if you are trying to know more about the ways of implementing the automation test life cycle to improve the quality of your products, you have come to the right place. Read on to know more about the automation testing life cycle.

The stages involved in automation testing life cycle

Automation testing life cycle runs almost parallel with the life cycle process of software development. The completely structured automation testing process involves a multi-stage procedure that includes activities needed for utilizing and introducing an automated testing tool, developing the design, and handling the environment and data.

The test design, in this case, is meant to showcase the test efforts and to offer the test team a blueprint on the capability of the test.

Here are the stages involved in automation testing life cycle:

  • Determination of the scope of the test automation
  • Choosing the proper tools for automation
  • Test planning, designing and strategizing
  • Setting the test environment
  • Developing and executing the test script
  • Analyzing and generating the test reports

Determination of the scope of the test automation

This is where the automation testing life cycle starts and the aim of this step is the identification of the viability of automation. Each aspect has to be taken into consideration to analyze this viability. Moreover, it is important to run a viability analysis on the manual testing pack, which lets the automation test in designing the testing scripts.

Given below are the things to be considered in this stage:

  • The modules of the product to be automated and not automated
  • The tests to be automated and the ways of doing that
  • Expertise, team size, and costs

Here are the viability checks to run before beginning the tests:

It is important to go through the application screen under this test to mention all the UI aspects of an application for performing viability analysis effectively. Use the automation testing tool for identifying the percentage of the UI components.

Read Also –  React Native End-to-end Testing and Automation with Detox

Choosing the proper tools for automation

The tests are highly dependent on the tools. Thus, finding proper testing tools is one of the most important aspects of the automation testing life cycle. While searching for automation tools, you will have to consider the technologies available for the project, budget, and acquaintance of the tool with your resources, flexibility, and intuitiveness. Go for the tool that offers you an alert support team for answering your doubts.

For instance, when you are searching for an automated browser compatibility tester tool, you will have to consider the variety of browsers that are on offer, the ability to capture video journals, metadata of the automation scripts among various devices and browsers, and the mechanism for tracking bugs.

Test planning, designing and strategizing

This is another one of the vital phases in the automation testing life cycle. It deals with the ways of approaching and accomplishing the goals of test automation. Choosing the test automation blueprint is the first thing to do for the strategy phase of the cycle.

Choosing the tool depends a lot on the technologies utilized in an application. You need to understand the product before beginning the automation test.

For instance, when it comes to desktop applications, figure out the language it uses. In terms of a web application, understand the deprecated feature you need, which has to be compatible with different browsers.

At the planning phase, the team takes the decision regarding the procedure by creating guidelines and standards, software, hardware, the network for supporting the test environment, test data needs, defects in the tracking procedure, and so on.

Read Also –  Tried & Tested Tips on Mobile App Security

Setting the test environment

The test cases now have to get executed using a remote machine. But, why are remote machines needed? The simple reason is that it is not an ideal world where every user uses the same machine for accessing the web-app or website you have developed.

Of course, you need to keep an eye out for the various devices, but you will also have to consider the different browsers and their versions. Your website might look different in one browser compared to another. Cross-browser testing is the process that you use for testing the web-app or website across different versions of browsers to ensure that you are able to offer an equally great user experience to all the users.

Developing and executing the test script

It is time now to execute the test scripts since the test environment has already been set. The testing team, at this stage, gets unit-tested and signed-off test scripts for performing script execution.

The test scripts need to run properly, and thus, the things given below has to be taken care of before creating the test script:

  • Keeping the actual needs in mind to create the test scripts
  • Creating a common functional method to be utilized all through the testing procedure
  • Ensure that you create a structured, reusable, and simple script which is not hard to understand for a third person.
  • Code reviews of the scripts for improved quality assurance
  • Making use 0f enhanced reporting

After the test script gets developed, there comes the execution part, where the given things have to be kept in mind:

  • Inclusion of the functional aspects of the test case
  • Running the test script in different platforms and environments
  • Batch execution for saving efforts and time, if possible
  • Writing a bug report when there is a failure in some functionality

The test team has to go by the pre-decided schedule for proper execution. Evaluating the test outcomes and documenting the test results care a part of this phase.

Read Also –  Security Issues App Developers Need To Deal With While Developing a Mobile App

Analyzing and generating the test reports

After performing all the tests, the team starts its analysis for identifying the specific components or functionality that has shown signs of potential problems. The results of this analysis show whether it needs added test procedures and efforts or not. The test results gathered from this analysis confirms if the executed test procedures and scripts are able to find the errors.

This is the final stage of the process, and at this stage, the test reports get shared with all the stakeholders involved. The test reports are important for analyzing the performance of a web-app or website in the face of adversities.

The Endnote

Automation testing offers the most effective way of meeting the testing goals while keeping within the deadlines and taking care of the available resources. But, in order to get the expected results, you will need to go through the entire cycle, and that too, in the right environment with the right tools.

How to Develop a Smart Content Strategy for Your Mobile Apps

The use of the internet has primarily focused on mobile devices. Mobile users rely on their smartphones to access any information as fast as possible. With the growing attachment of people to mobile phones, apps have become a huge hit. In 2017, there were 178 billion app downloads. One year later, the number has reached 205 billion and there is a projection that in 2022 it will be 258 billion. This presents a 45% increase in app downloads over five years.

The apps may be popular but if you want your app to properly present your brand you need the right content strategy. The way users perceive content will affect their impression of the app. That’s your chance to win them over. The following smart content strategies will help you form a mobile app that users will love.

Understand Your Audience

Crafting content with zero or little information about the users won’t give you the right results. Content needs to be targeted and relevant which is why you need to study your target audience. Understand them and their behavior and you’ll know how to accommodate their needs.

Some of the questions that will help you create an idea about your audience are:

● What would they try to accomplish with your app?
● What are their demographics and interests?
● What percentage of audience accesses the app through phone vs. tablet?
● Is visual content popular among your audience?
● Is there a type of content that they share the most or engage with the most?

By identifying some of the pivotal points, you’ll direct the content strategy in the right direction. Tailoring the content to their interests and behaviors will ensure that they are engaged with the app.

Read Also – How to create a hype for your app right from the beginning?

Content that Continually Delivers Value

Some apps have the downside that their content has a short-term purpose. After the initial need is met, the users’ interest will decrease. As it only takes a few clicks to delete the app, they won’t hesitate to do remove it from their device.

Create content with long-term use in mind. Such content needs to serve value consistently as well as keep the users engaged as the time passes.

There are a few methods that can help you retain users’ interest and stay relevant:

Produce fresh and original content regularly
Take advantage of geofencing and provide users with content that is related to their location    (upcoming event, coupons at a nearby store, etc.)
Use push notifications that deliver important information timely (use it moderately so that the users don’t get annoyed)
Provide users with personalized content that is adapted to their habits (for example, products that are in stock again, news related to their previous searches, and similar)

Use Visuals to Enhance the Text

The aesthetics of the app play a huge role in retaining users’ interest. Written content is important but visual content is just as relevant.

Justify users’ trust by using unique pictures in your app. Their purpose should be to support the written content. Users expect something different and original from the app and you need to deliver that. An aesthetically pleasing app has always a better chance of surviving in the competitive app world.

Let’s say that you have a blog app. You might think that the main focus of your app is your writing. That is true, but without supporting visuals that give life to your content, the app will look dull and dry. It is much harder to concentrate on content when all you have are endless blocks of text.

Read Also – Best Practices to Enhance Your Mobile App User Experience

Diversify the Work with Experts

Depending on the complexity of your app, you might want to consider working with different writers for different parts of the content.

Why is that?

Writers usually have expertise in one field. Their talent combine with experience can ensure that content is top quality.

To help you understand this better, let’s get into one example. If an app contains information about healthy eating habits and exercises you can work with two writers. One should be an expert on how to eat healthily and the other should focus on the best exercises.

If you are lucky enough to find someone who has the same amount of knowledge in each aspect that great. However, realistically finding such an expert is challenging.

You can even hire writers from various services like GrabMyEssay and WowGrade. With the help of online job platforms like Upwork, you can team up with freelancers who specialize in whatever area you need.

Entertain Users in Different Manners

The problem with some apps is that their content doesn’t keep the users on it for long. Multi-purposed apps that engage users in different ways have the best chance for success.

The easiest way to understand this is through an example. Sports apps reach their peak in use from fall until January. After that, users forget about its existence until September. The solution is to provide users with content that will entertain them off-season. The content can be about practices, NFL drafts, or any news in the sports world.

No matter the industry you are in, you can do the same for your app. Find a way to keep the users engaged despite the potential “off-season” time for the app. Prolong the use of your app so that the users don’t forget about it or replace it with another one.

Read Also – App Marketing tips for Mobile App Launch Success

Final Thoughts

An app with poor content strategy won’t just affect the success of the app. It will also reflect on how the audience perceives your brand. Apps can be very useful for the brand’s progressiveness but they need to be done well. Stay true to these main principles of smart content strategy and your app will be on the right track. Think like a user and create the content so that it satisfies their needs.

Are you seeking for the best app development company to build your killer mobile app? It is the right place to start. Take a glance.

app development

How to Lower the Mobile App Frontend Maintenance Cost?

The lack of a proper mobile app maintenance strategy can lead to hurdles in stability and flexibility, and sooner than later that leads to the failure of the application. When the developers rely on obsolete tools or when the code is not of the best quality, the performance of the app suffers and the bugs and crashes end up hampering the user experience. Furthermore, these bugs also end up hampering the scope for further app development.

When you think of this from the perspective of a business, this all translates to increased resource inclusion, higher costs, and needless delays in launching.

On the other hand, effective maintenance can make applications stable and flexible enough to let you come up with new features and improve the existing ones.

However, frontend maintenance of a mobile app can turn out to be pretty expensive, if measures are not taken to curb the cost beforehand. And, what are those measures? Let’s find out!

What increases the expenses of frontend maintenance?

Before getting into the details of lowering the cost, let’s try to understand what makes the cost reach so high. Here are some of the most common reasons that make the app frontend maintenance cost go up and up.

Using non-structure JavaScript

A JavaScript project can be structured in multiple ways, and one of the most crucial parts of maintaining an app is to keep the structure consistent. When there is a well-defined structure present, the developers do not have to look for a file for days because they can figure out the things going on in the app with one glance.

Structures can be chaotic even when the products use popular libraries, such as React or Vue. When preparing for a lower mobile app maintenance cost, you need to think about outlining the style for the structure for the reference of the team of developers.

Related Article – All mobile app development doubts answered

Not using a good quality code

The success of a project depends to a great extent on the code quality. Though the factors like semicolons, consistent incidents, and same file structures mean nothing for the non-technical person, it can all help in defining the success of the project.

When done wrong, it can all come together to increase the frontend maintenance cost of the app.

Obsolete third-party package

Your product might just be relying on third-party packages and open source libraries. Because the external resources get updated really fast, it’s crucial that you keep on updating the latest version in the app for removing dependency issues of the project stemming from issues and vulnerabilities.

The latest versions have security improvements, bug fixes, performance enhancements, and more that keep the app working in the best possible way, while keep the costs under control.

Non-automated deployment and build process

Building and deployment are the final stages before an application goes live. These stages have to be error-free beforehand because removing the bugs later can be expensive.

Lack of an automatic building and deployment line can slow down development and lower team efficiency. A good idea is to go for continuous integration that incorporates running automatic tests for the new arrivals. Thus, you get to figure out and eliminate the bugs in real-time.

Lack of Readme

One of the most significant files of the project is Readme. The deployment procedure, project usage, requirements, and development becomes clear through this. Failing to keep it updated means the team of developers will have to spend loads of time in navigating through the issues that you have dealt with earlier.

Related Article – Must-know tips for Mobile App Testing

Ensuring lower frontend maintenance cost in Node.js, ReactJS, and Angular

Go for the newest version

The frameworks keep on bringing out new versions at regular intervals. Making sure that you use the latest one comes with a couple of benefits, like access to the newest features and functionalities, long-term supports from the team, and increased app efficiency. A combination of all these ensure that frontend maintenance costs of an app are brought under control.

Asking for the documentations

Projects usually do not stay with same developers till the very end, and thus, documentation has an important role to play in the app development services for mobiles. It helps the new developer who comes into the project to get a clear idea about the project and its growth status, which makes it easy for them to pipeline tasks.

Ensuring compatibility with the third party modules

Create a list of the third party modules that go with the selected frontend framework. It is important for you to make sure that you have a plan B ready for the future where these modules get major updates and it fails to go with the frontend that you have selected.

Testing before implementing features

It is important to test the behavior of the app in advance before rewriting or implementing any functionality. For example, when you need to redo a logic in the app, it is easier to go for the changes when you feel certain that the operational functionality tests have been completed. Thus, you will get to know it right then if something just stops working.

Using the micro-services

When the problem is with the monolithic structure, you need to extract the micro-services from the app to make sure that it works the way it should. The mini-apps need to serve their purpose correctly. It will help in streamlining scalability, and you get to move around services for different development teams and machines: an affordable micro-service benefit which is not offered by monoliths.

Related Article – Reasons Why You Have To Update Your Mobile App Regularly

Introduction of the conventions is the first step when the code quality is low or inconsistent, but the app seems fine. Divide the file structure into logical parts for clearing it. It is a good idea to go for a static code analysis tool and type system. A sound code quality can also be ensured by following the given things:

• Continuous deployment and constant integration through proper configuration

• Adding linters in the pipeline for making sure that inconsistent, poor codes do not get included in the production

• Code refactoring to be given the importance it deserves in the development process

Lowering the frontend maintenance cost by the project managers

There is only a single step that can be taken by a non-technical project manager for avoiding high frontend maintenance costs: Hire an experienced frontend team. Such a team will have the ability to deliver the desired quality and know the significance of not postponing tests only to meet deadlines.

Even when you do not feel like you have enough monetary prowess to hire an entire team for the job, you will at least need to get one experienced resource on the job. Think of this like an investment to your project. Of course, you have the option of building single page apps for reducing maintenance costs, but that is not a viable idea.

The endnote

There is no denying the fact that frontend maintenance can be a costly affair when you take the wrong steps, but as you can understand by now, the costs can be effectively brought under control. It’s all about taking the right measures and having an efficient frontend team that knows about those measures.

app development

MVP vs Prototype Vs PoC: What’s the Best Approach to Measure Product/Market Fit?

Launching a new product in the highly competitive market of today is really a big deal. It encompasses more than simply taking care of the quality and keeping the price just right. And, this is where the concept of product/market fit comes into the picture.

To offer a simple definition, product/market fit is the extent to which a product is able to satisfy the market demands. To explain it further, it is the analysis of whether the product slated to be launched has the ability to survive in the market, earn profits, and continue generating revenue.

Marc Andreessen, an American investor, and entrepreneur is credited to be the one who coined the term. He divided the life of a startup into two different stages, i.e. BPMF (Before Product/Market Fit) and APMF (After Product/Market Fit).

So, what are the ways to measure this product/market fit? What metrics have to be analyzed to understand if your product fits the market just right?

Basically, assessing a product can be done in three ways before launching it in the market, namely, MVP (Minimum Viable Product), Prototype, and PoC (Proof of Concept).

Read on to understand in each of these types in detail, their differences, and find out which one can be the best bet for assessing product/market fit. So, without further ado, let’s get on with it.


So, let’s begin this discussion with prototype. It is that part of your product design that enables your business to test out a process or concept. Prototype is a highly interactive model, which helps in understanding the workflow, along with its usefulness.

It makes it easy to visualize user experience even before you start developing your product. Though when thinking about prototype vs proof of concept, it is not like a separate system, but prototype gives a good idea of the kind of user experience you can expect from your product.

Using prototypes helps the startups to find the faults and errors, which affect the flow of an app or hamper the user experience. The usual components of the prototype are user flows, design layouts, mock-up, and wireframes. You can create four different kinds of prototypes for testing, namely, visual prototype, working prototype, functional prototype, and user experience prototype.

It is something that is of great help in the assessment of how seamless the journey of a user can be with your product. A prototype is a useful method for measuring product/market fit because of the given reasons:

  • Prototypes let the businesses understand all the lags in their product, and that too, before they start developing the product
  • One of the major factors in retaining customers is user experience, and a prototype helps in the assessment of that
  • Prototype is the swiftest way of testing the acceptance, scalability, and feasibility of a product along with the visual effects
  • It needs way less investment when it is considered in terms of time, efforts, and finances
  • Prototype informs the businesses about the limitations of the system at the initial stage

Read Also – Why A Prototype Can Ensure A Successful Start Of An App Development?

Proof of concept

As you can well guess by the name, proof of concept is useful in testing out the viability of a product in terms of practical implementation. The idea that came to your mind? Proof of concept is one of the most ingenious ways to test out if that idea is at all operational.

For the development of the proof of concept, a small-scale project, along with a fundamental functionality, gets executed. It does not get disclosed publicly or even to your customers. This helps in the examination of whether or not the environments, platforms, or technologies are available for creating a solution. After the proof of concept is able to prove the functional or technical feasibility of the project, the process of product development starts.

Given below are a few of the reasons why proof of concept is held as a viable way of measuring product/market fit:

  • Proof of concept in the short term procedure for testing the potential and viability of the projects
  • You get a quick ‘no’ or ‘yes’ response regarding the feasibility of a project
  • Proof of concept helps in disclosing the faults, bugs, or errors in the system or idea during the initial stages
  • It does not take much time in validating whether or not you are going in the proper direction
  • It is able to help you figure out the alternative solutions to the problems, in case the one you are considering seems unfeasible

Minimum Viable Product

The Minimum Viable Product is the first version of a product that is planned and created for testing the market acceptance of the idea. To give you a brief idea, MVP is like the base model of the product, with the minimum but the most important features of it.

MVP is known as one of the most used approaches for measuring product/market fit because it lets the products reach the market. It also helps in understanding how the users perceive a product, the hindrances to its performances, and the improvements that can be brought about for making the product more useful in terms of UX, UI, and the technical aspects.

After all these aspects get analyzed, the businesses are able to invest confidently in the future development of a product, think about premium features and services, and expect to get a good return on the investment.

Let’s take the example of Uber to understand it further. It is one of the most popular apps all over the globe to hail a cab. Initially, Uber had launched the app with just a couple of core features and the app saw improvements with each new version. Right now, the Uber app comes with an extensive lineup of features, which were introduced after the assessment of user experience with earlier versions.

That was just an example of Uber. Most of the popular businesses that you know today began with the MVP, and then they grew as they got more and more user acceptance. MVP is actually one of the most in-demand approaches for measuring product/market fit for the reasons given below:

  • You get to start in a small way and then evolve as your users start accepting the product
  • MVP allows you to come into the market with a comparatively small investment
  • It allows you to understand all the lags in the product and the ways to improve the product
  • It helps in understanding whether the amount of effort, money, and time you invest in the product are worth it
  • It helps you to know your target audience and their expectations from your product

Read Also – MVP or EVP: What is the Right Option for Your Startup?

So, MVP vs prototype vs. Poc: which one is it going to be?

Of all these approaches used for measuring product/market fit, the best approach that a mobile app development agency can take is that of the MVP. It allows you to test the product viability and user experience and also lets the user validate the potential of the product.

However, there is no reason to think that PoC and prototype are not useful on their own. They might not be the best possible approach for measuring product/market fit, but they let the businesses assess the feasibility of the product at the initial stage. The truth is, it all depends on the business idea, to a great extent.


How to Build Successful Mobile Apps using Big Data?

Going by the current reports, the number of users for smartphones is going to hit a whopping 3.8 billion by the year 2021. This sweeping increase in the number of smartphone users has also led to a rising demand for better mobile apps. Now, these modern apps also use tremendous amounts of data, and thus, a robust management tool for analyzing and managing this data has become a necessity. And, this is where the use of Big Data technology for building apps comes into the picture.

The fact that big data technology is nothing short of a boon for a Mobile App Development company is evident in the fact that the big shots of the game like Amazon, Starbucks, Uber, and more, have turned to it for successful app development. After all, the need of the hour is to get the right insights to know what the end-users want, and big data apps offer a huge help in that regard.

So, what are the ways through which big data helps in building successful mobile apps? Is it really worth the investment? Let’s find the answers to that today!

Delivering apps driven by customer preferences

First off, for any app to be successful, it has to understand the preferences of the customers and deliver the services exactly according to that. Big Data helps companies to understand the interests of the customers, and even track real-time information about their activities.

Understanding the demand and preferences helps the companies in getting ready for their future. They can begin planning in time and save themselves from future failures as they can meet the expectations of their valued customers.

It is also important to note in this regard that big data analytics helps businesses to plan in advance according to the demands of the customers. So, there is less and less scope of them ending up making any errors.

Besides, companies are able to come up with ways to improve their present apps, which enables them to retain the present users and draw in new users. This is great news for the revenue and the reputation of a company.

Read Also – How Artificial Intelligence is Driving Mobile App Personalization?

Using big data for end-to-end marketing

Big data is important to understand the present market trends and developing the right app ideas according to that. However, what most people do not know is how big data can come to their aid even after the formulation of that idea.

Mobile Big Data Analytics makes it easy for developers to store and extract open source codes. Streamlining the development process significantly reduces the time needed for coding, and thus, companies even save up on production costs.

The efficient marketing tools offered by big data analytics help in creating lists of target audiences and attaining considerable improvements in traffic. Predictive analytics as enabled by big data can help the companies in understanding long term use and success of their application, along with letting them take the necessary steps for boosting their product’s popularity.

Furthermore, there are services, such as data mitigation, to let companies access faster data transferring channels to connect data used between different apps.

Read Also – Reasons Why Everybody is Using Cloud Mobile Apps

The value of in-memory databases

At present, it is difficult to store data because it cannot be stored using RAM. The major tech-giants like IBM, Microsoft, and Oracle have come up with different in-memory databases, which are quite expensive.

Big data integration helps companies to store huge amounts of data easily in an organized way for long term usage. It is also helpful in making better use of the stored data. When data is stored in a secure and organized manner, it helps companies in multiple ways. It not only aids in better decision making but also comes to their aid when analyzing user choices and delivering the needful.

Effective analyzing of user experience

As discussed earlier, creating a successful mobile app involves analyzing the user experience critically. Big data can help in studying customer behavior to direct the attention to the core app functions. A thorough analysis of the user’s behavior lets the developers have the information they need to build an app. Thus, the user gets an app that lives up to their expectations.

Moreover, big data analytics let the developers determine the glitches that a customer can face, and update their apps accordingly to deliver the best possible user experience.

It takes nearly six months to create big data apps like Uber, but that is not where the role of big data ends. There’s customer usage, payment, banking information, location, and more to be analyzed to ensure increasing popularity and smooth functioning of the app. As big data studies user responses to the different app features, it enables the developers to come with more features for better user experience.

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Getting access to important real-time information

Customer preferences and needs are changing constantly, and, so are the trends. So, for the companies to survive in this highly competitive market, they need to be well-aware of these ever-changing trends. Accessing such real-time information becomes easier with the help of big data. It lets the companies make informed choices that improve both sales conversions and customer satisfaction.

Let’s get a better idea about this through the fitness tracking apps. These apps monitor the eating, sleeping, activity patterns, and the overall health conditions of the users. These apps need to have real-time information about the users to work effectively and help users have a healthy lifestyle.

The statics shown by the apps let the healthcare providers and doctors detect the health issues that a user might have. Furthermore, the use of accurate data also helps the advertisers to comply with the market trends in the middle of their campaign.

Role of big data in improving sales conversions

Mobile apps are made in a way that they help in increasing the company revenue. The role of big data extends far beyond local data collection. Thus, a company is able to establish its products to be effectively launched in different countries or states to widen the reach of their apps.

Further, by enabling the option of in-app purchases, you get to monetize the products. Successful attainment of this goal is only possible through studying the buying trends of your target audience. There are elements of big data like edge computing that lets companies study vital information close to its source.

It brings down the distance that the data has to travel, which in turn, reduces latency and the costs of transferring data. Moreover, big data lets the companies develop customized app settings depending on the needs of the users. Ultimately what it does is boost the performance of the application and encourage greater user engagement.

Read Also –  Is merging Blockchain and Mobile App Development a good decision for businesses?

Summing up

These days, mobile apps are like the core of the digital marketing strategies employed by businesses. And, improving user experience by taking into account all the aspects of app usage through big data technology lets a company stand out from the rest and be noticed by the target users.

Thus, developing mobile apps with the use of big data increases app visibility and draws in more users. Isn’t that what every company, jostling to make its name in this highly competitive era of online businesses, wants?

Is merging Blockchain and Mobile App Development a good decision for businesses?

Recent studies suggest that financial organizations can save over $8 billion on the transactions each year simply by using blockchain. However, the bigger question is, does it hold the same benefits for all businesses who might be considering its implementation for mobile app development?

To start off, the answer to that question is a big yes! The benefits held by Blockchain for mobile app development are multiple, if it is done the right way. So, let’s delve deeper into it.

The benefits of merging blockchain and mobile app development

The merging of blockchain and mobile app development comes with several benefits, and eight of those have been discussed below.

  1. The security aspect of it

The security features are the most crucial thing that the app developers have to make sure in creating and delivering their products.

One of the many features that Blockchain technology is that it is able to secure the apps with the highest level of encryption, which protects the app from malicious attackers. The technology ensures that the most secured software applications are used in the product.

  1. The transparency that comes with security

A secured mobile app is also a transparent mobile app, and the use of Blockchain can be instrumental in ensuring that transparency.

Blockchain allows easy tracking of every transaction that the user makes. Thus, it ensures that no fabricated information or malicious user can interfere with the transaction. With the right application of the Blockchain technology, multiple users are able to use this app. This is something important for the entrepreneurs because they get gain greater trust of the users by offering them the assurance of safe transactions in the app.

Blockchain security is helpful in every sector. The chief features of it are securing and sharing the data, and it is something that benefits any business sector. So, it is no surprise that, Blockchain gets used everywhere, from the medical sector to the industrial sector.

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  1. The uniformity in the function of the apps


The mobile app development companies can use the Blockchain technology for making it easy and simple for the apps to function.

The developers get to maintain a parity in the qualities and features that they offer in their high-end applications. It benefits the users because they do not have to shell out hefty amounts for the apps.

Blockchain mobile app development is helpful because the similar functionalities can be created in a highly compelling way. The task of modification, updating, and most importantly, development becomes easier.

  1. It also helps in updating the apps easily

Updating the apps will seem faster and convenient as there is an increase in blockchain app development in the present market.

This will turn out to be immensely beneficial for customer services, as well as meeting the demands and needs of the businesses. Blockchain mobile app development is helpful for the app developers in fulfilling the future needs of the application.

  1. The threat of password leakage is gone

Even after putting up passwords, the users are in a continuous worry that this password might just leak out, or some hackers might just get to know it. However, with Blockchain security, the users do not need any type of password.

The mobile transaction are clearly visible. The parties involved in the transaction have the SSL certification for carrying out the transaction. The things are transparent to everyone and there is greater accessibility for the users.

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  1. Transactions are made possible with multiple users

The major business organizations need multiple signatures on one document. The Blockchain technology helps the businesses in easing out this process.

It is not like the description keys can be used and one can simply get away with it. Verifying the information is something that all parties want and it can get easily adjusted. As the verification of information and authentication becomes easier, any readjustments in the system is simple to take care of by the business.

  1. Handling complicated digital ledger systems is easier

The businesses have quite the task at hand when it comes to the proper maintenance of a ledger. A digital ledger can be created using Blockchain technology, powered by extensive use of high-end computer networks.

The main purpose of it is to analyze and send out the data collectively. Every time the company implements some change, the same change gets forwarded to all the machines in the company’s systems. The use of Blockchain technology in all the apps helps the businesses have the same ledger at any given point in time.

  1. The future is here with mobile app and blockchain merging

Blockchain technology is being used even now in the update and development of apps. The multiple benefits delivered with the merging of Blockchain and mobile app development, ensures that there is a better future for the developers and the users.

The future is not too far away when we get to see more and more technological changes and software updates brought forth by Blockchain technology, and the applications brought forth from it.

Read Also –  What Mobile App Developers Need to Know About Blockchain?

The way of implementing Blockchain in mobile apps

As established already, the implementation of Blockchain in the development of mobile apps is beneficial for all parties involved. And, now that the benefits have been underlined, let’s move on to how you can practically implement the steps of mobile app development based on Blockchain tech.

  • Selecting the right consensus-based process

You might already know that there is a consensus mechanism that makes sure of the security and accessibility aspects of Blockchain. It is important to select the right consensus method according to what is suitable to the character of your app.

Round Robin, Proof of Stake, Proof of Elapsed Time, and Proof of Work need to be taken into account when searching for a couple of common alternatives. So, the method that you choose depends on the requirements of the app.

  • The design architecture for the app in question

It is important to select the right configuration for the design architecture. So, now it is time for hosting Blockchain using the hybrid, in-house, or cloud-based model. The good thing for you is that, in this case, you have a whole range of options in terms of configurations related to the memory, disk size, operating system, and processors.

The one thing that you will have to ensure is that the chosen design architecture is selected depending on the operating system of the platform for which you are creating the mobile app.

  • Admin panel and UI design

The final step involves developing the admin panel and the user interface of the app. A front-end programming language has to be used, along with an exterior database and particular app servers, to make sure that the task is effectively accomplished.

The soft launching of the mobile app is made possible with the use of the console, but you should remember to establish a connection with analytics.

Wrapping up

Mobile app developing companies are increasingly turning to Blockchain technology to get the best possible results. It makes the apps much more accessible, credible, and reliable, which benefits the companies as much as the users. So, the answer to the question is pretty clear: Blockchain and mobile app development are the perfect matches for your business.

SaaS Technology Trends to Look Out for in 2020

2020 will see the continued climb in SaaS adoption across regions, markets, industries, and business sizes. TechRepublic has already forecasted that 73% of enterprise-level organizations will function almost entirely on SaaS at the start of the new decade. Those that have already made the leap to SaaS-driven business models are reporting improvements in attracting and retaining top talent, improving their employees’ work experiences and optimizing existing workflows.

Now 60 years after the inception of SaaS, what does SaaS business modeling in 2020 bring to the table that is different from its previous iterations? At its core, Software-as-a-Service technology and its providers remain steadfast, allowing users to license services on a contractual basis through the internet. What has changed, however, are its use-cases and potential to integrate more fully with a business’ operations.

Partly, this shift is attributed to the increase in internet latency and speeds, enabling SaaS providers to deliver more intelligent and powerful technology to their user base via broadband, Wi-Fi or cellular connection. But current changes to the SaaS market also indicate transformations in overall business practices—the connection organizations want to build between technology, their work process as well as their relationships with customers.

To give you a better understanding of the future of SaaS technology—as well as how these innovations will continue to evolve the ways we do business—let’s look at some of the biggest trends influencing the digital business landscape today:


In the age of automatic follow-ups, long customer wait times and en-masse email campaigns, personalization is the key to growing your customer base. One recent study uncovered that 80% of eCommerce shoppers are more likely to do business with companies that offer a personalized customer experience—even going so far as to pay more for equivalent products or services.

Contrary to popular belief, engagement through personalization begins well before the first purchase. Businesses that can successfully tailor their website’s content, social media strategies and email outreach are the most likely to fully engage with prospective buyers and convert them to sales in the pipeline. More notably, developing a unique approach to customer experience will prevent your teams from spending additional time and resources on those who are outside of your target audiences.

That’s why tailoring customer experience to each specific individual or buyer persona is necessary in your marketing processes. Marketers especially can benefit from artificial intelligence software as a service in your technology stack, which several SaaS providers have integrated into their tools to curate CX strategies that operate on an individualized basis. This is because great personalization relies on accurate, data-driven insights on your customers–everything from the types of online communities they inhabit to whether they prefer emailing or a quick phone call when communicating with a business.

Read Also – How Artificial Intelligence is Driving Mobile App Personalization?

AI-powered SaaS helps businesses create a better data-set through two primary features: first, artificial intelligence is able to quickly collect and organize large volumes of information; second, it is able to make sure that the information it acquires is accurate. Human error during data entry is the primary reason why one-fifth of companies around the world believe that a majority of their customer data is faulty. Of course, these inaccuracies in your customer database can make it nearly impossible to foster personalization at any meaningful capacity. As the number of marketing teams that utilize AI integrations expands in 2020, it will become subsequently more difficult for businesses without this technology to personalize at scale.

Customer Retention

If the first step to growing a consumer base is acquiring customers, the second—and equally important—step is to retain those already doing business with you. Customer retention is not the only key to establishing a healthy rapport and brand, but it also is the most cost-effective long-term strategy for growing your business.

By some estimates, retaining a single existing buyer is one-fifth of the total expenses of acquiring a new customer to your business. Efforts to improve your company’s customer lifetime value also yield benefits far beyond reduced costs. Existing buyers are often easier to upsell to other products or services you offer, and they are more likely to become public advocates for your business.

Read Also – Top 5 Ways to Utilize Automation in Your Business

While there are a number of reasons why customers decide to leave businesses—everything from unhappiness with your product to no longer buying within that market—the most glaring hit to customer retention is wait times. Eighty-six percent of British consumers in a survey by Retail Times vouched that they would avoid shopping at stores where line queues appeared to be too long. The numbers are even more dire when it comes to customer support over the phone. Recent research found that nearly two-thirds of customers wait only two minutes or less when a business puts them on hold, and roughly half of people will never complete their purchase if they encounter bad customer service.

The desire to more quickly and accurately satiate customer inquiries is the main cause of this next SaaS trend, wherein many businesses now rely on contact center software as a service to fortify their relationships with customers and retain them down the line. Investing in contact center technology that is delivered as a service boasts a number of distinct advantages that outdated contact center architectures are unable to supply. Because it’s hosted on the cloud, contact center SaaS enables multichannel routing, meaning that you can manage web chats, social media messaging and calls under the same platform while keeping response times low. This also makes it easier for businesses to oversee their agents and scale their needs accordingly—as your customer base grows, you can increase your subscription to ensure new agents have all the tools they need from their first day on the job.

End-to-End Business Solutions

Another key trend affecting the SaaS market in 2020 is the increasing demand for software solutions that are specific to one single industry or type of work. The result is a SaaS model designed to deliver end-to-end functionality and support for users in that industry, as opposed to solving just one business need.

This difference in delivery modeling is the difference between horizontal and vertical SaaS. Horizontal SaaS products have existed on the market for several years and are used across the business spectrum. Since horizontal SaaS products broadly service one specific business need—such as a customer relationship management tool or content marketing platform—businesses of all sizes and industries use them within their own respective departments.

Read Also –  SaaS vs. PaaS vs. IaaS: What’s The Difference and How To Choose?

In 2020, however, vertical SaaS will likely take a greater share of software spaces as more businesses invest in solutions that are tailored to their niche. Vertical delivery models pinpoint very particular challenges, allowing them to go deeper in their target audience and provide solutions that encompass multiple departments within a single organization. As more businesses seek software solutions that are tailored to them, the vertical SaaS is sure to grow even more—already, the market size for vertical SaaS offerings has tripled within the last decade.

A good example of vertical SaaS is ERP as a service for one designated industry. Resource planning systems deliver a number of benefits for businesses—everything from more accurate data and reporting to a more standard work process. However, a horizontal ERP software would not be able to provide the same level of detail in its reporting or workflows as a product designed for one type of organization, as so much of resource planning is intrinsically linked to your particular space in the business world. By investing vertically in resource planning, businesses are better suited to satisfy the needs of both their workforce and their target customers.

Mobile-First Accessibility

Perhaps no one SaaS trend will define 2020 as acutely as the demand for mobile compatibility. SaaS integrations have enabled even small- and medium-sized businesses to adopt more mobile-friendly workspaces, such as remote work outside of the office and work during business travel. It makes sense that the next step in the move toward mobile accommodations is total software compatibility on smartphones, tablets and—in some cases—even wearable devices. The SaaS providers that will dominate their areas of expertise are therefore the ones that develop the best mobile user applications and experiences.

What exactly has caused businesses to so suddenly place such high value on mobile SaaS options? Largely, the popularity of mobile-friendly workspaces reflects workers’ familiarity with these types of devices outside of work. Adopting smartphones into work atmospheres can, therefore, result in reduced learning curves when employees first start using a new tool.

Read Also – IoT and Mobile App Development: A Great Combination to Develop Your Business

Businesses that have made the switch to mobile work environments have also experienced higher levels of productivity and engagement within their workforce. A study that focused on the relationship between custom applications and efficiency found that over 90% of corporate employees use at least one app at work, and roughly one-third believe that using the right apps can enhance their business’ process.

Adopting a custom mobile application as a service for your business is one way to ensure your teams have access to the software they need to perform their responsibilities—whether they’re on the road traveling or working in the coffee shop next door. As opposed to hiring a team of developers and creating an app on your own, enlisting the aid of app development professionals gives you access to comprehensive analytics, DevOps support and general upkeep and maintenance, allowing you and your teams to focus on what really important—getting work done and satisfying your customers.

What recent upgrades has your business conducted to its SaaS portfolio? What 2020 tech trends do you anticipate will create the most abrupt changes to the business landscape as a whole? Make sure to share your thoughts and comments below.

Swift vs Objective-C: Which is Ideal for iOS App Development in 2020

When you aim to develop the perfect iOS app, one of the first things that you need to decide is the language that you will need for the project. In terms of native mobile app development for iOS, you basically get two choices: either use the good old Objective-C or go with the next-gen Swift.

Now, understanding the ideal programming language for iOS app development needs you to consider the features, differences, pros, and cons of both the options that you have on hand.

So, without further ado, let’s get right into the details of Swift vs. Objective-C.

The main features and characteristics of the languages



Way back in the 1980s, Brad Cox and Tom Love of the Stepstone Company came up with the programming language Objective-C, as the extension of C. It was released in the market in 1988, and the response it received was quite amazing. “Object-Oriented Programming: An Evolutionary Approach”: a book written by Brad Cox and Tom Love in the same year was instrumental in the success of this programming language.

Finally, during the late 1980s, NeXT Computer, Inc. acquired the license for Objective-C for developing the frameworks for ‘NeXTStep,’ which was again, picked up by Apple. Thus, Objective-C came up to be the standard in terms of iOS app development for many years.

Basically, two programming languages were brought together to create Objective-C, namely, Smalltalk and C. This is what makes it a language with an extensive, complex syntax. Smalltalk gives it the object syntax, and the non-object syntax comes from C.

Message passing and dynamic tapping are used by Objective-C. The code blocks of implementation and interface are also required in this case for dividing classes.

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Swift is younger than Objective-C, as Apple began developing it in 2010 and it was released in the market four years after that. A year after that Swift was made open source. Swift goes way past C and Smalltalk and rather embraces the features of modern programming languages. So, here you will find type inference, optional, generics, and other such higher-order functions.

The speed of app development with both the languages

The features that a programming language comes with are crucial in ensuring that you get the speed of app development that you aim for. Swift is actually swifter than Objective-C when it comes to speed!

The use of higher order functions and generics make the codes much more reusable and cleaner. Type inference and options also make sure that the codes are safe as they are being transferred to the compilator from the programmer.

Moreover, the syntax is highly concise and you don’t have to make two code blocks for implementation and class interface. So, the programmers don’t need to write codes as lengthy in Swift as they have to in the case of Objective-C. In addition to that, there is a general consensus among the developers that this factor alone gives Swift an edge over Objective-C.

The pros and cons of both the languages

There is no denying the fact that you can develop apps faster in Swift, but that’s not the be-all and end-all of the decision to choose a programming language for your iOS app. So, let’s take a look at the pros and cons of both languages.



It’s been tried and tested for years. Objective-C has literally been used for writing millions of codes from its beginning till this day. You will get an answer to almost each question and every doubt thanks to the third party frameworks and the documentation that exists.

The compatibility with C++ and C. Objective-C is actually a superset of the programming language C. Thus, it works pretty smoothly for both C++ and C codes.

The stability factor. If an application is developed in Objective-C, you will not really have to spend your money for taking the application to a new language after a couple of months.

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Not the easiest to learn. It is significantly different from other common programming languages. The memory management of Objective-C is really complex. Thus, if a developer has an idea about Objective-C, he can learn and start working with Swift easily.

Dwindling number of supporters. With the difficulty posed in learning Objective-C, the new-age developers are keener to learn Swift rather than Objective-C. On the other hand, the seasoned developers who know all about Objective-C, find it easy to learn Swift. So, there is a steady stream of migration of developers from Objective-C to Swift.

The reverse engineering tools. The app that has been made with Objective-C is easier to hack into compared to a Swift app. Objective-C is renowned by now, and it has been here for years. So, the tools of reverse engineering are quite sharp, as well.



The safety factor. The number of features on offer, right from type interference, optional, to generics, make sure that the Swift apps are not as prone to bugs or crash as frequently as Objective-C.

Apple is Swift-focused. Apple develops the language and offers support to the community constantly. The developers are raving about the technicalities of Swift, which is an indication that this language deserves all the attention.

The developer’s team will love you! survey reveals that Swift is one of the leading programming languages, while Objective-C is the most shied away from.

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Changes and migrations. The weakest link of Swift is the change and migration associated with it. However, it is already not as difficult as it was, but still there is definitely chances of improvement after the introduction of ABI stability.

The constant changes in the language used to be a problem earlier. Developers had to shift to the new versions, which costs both money and time. The good thing is that, as time goes on, the subsequent versions are becoming better than ever before.

Summing up

According to the ongoing discussions on this topic among the developers’ community, Swift is perfect for the latest, small apps. However, when it comes to large projects that already come with extensive Objective-C codebases, Swift might pose some difficulties at the onset. With that being said, Swift has become really advanced and many of its glitches are being progressively fixed, which makes it the ideal language for iOS app development.