Native v/s Hybrid Mobile App Development: Decide what is Best for your Business

In the age of a technology-lead world where apps have become omnipresent and everyone is going digital, creating an application for your business is something which every business must consider.

But how is it that you should go about building an app? Starting from Custom Mobile App Development to Hybrid Mobile App Development, there are various types of approaches for app development. The two commonly used mobile app development methods are Native Mobile App Development and Hybrid Mobile App Development.

In this blog, I will walk you through the process of choosing a method that would prove beneficial for your company’s growth.

To do so, let’s take a look at the important features and attributes that you can consider while choosing between Native Mobile App Development and Hybrid Mobile App Development.

To start off with, let me tell you in brief about the first method.

Native Mobile App Development

Native Mobile App Development is a process which helps in designing apps specifically for iOS, Windows, Android, and Blackberry. Apps developed on native platforms work only on one particular operating system, which means that you will have to build a different version for every system. Taking advantage of the latest technologies like GPS, native apps provide optimized performance. Also, for native mobile app development, developers need to write the program code in Swift or Objective-C for iOS applications, C# for Windows, and Java for Android Native Applications. Apart from the coding platforms, the design, construction, graphic styles, typography, visual effects, data entry etc. for an app varies for every other operating system.

Apps built using this method are fast and the most reliable when it comes to customer experience. A staggering statistic shows that out of all the mobile developers in India 42 % use the Native Mobile App Development.

Now moving to the next method,

Hybrid Mobile App Development

Hybrid Mobile App Development makes the process easier for developers to run various applications like Windows, iOS and android with one single code base. There are various sophisticated tools like JavaScript, HTML and CSS which help in building these hybrid applications which run efficiently on various platforms. These tools act as a collaboration between web and native platforms. The code once written in any of the language tools mentioned earlier is wrapped up within a native application like React Native or any other open-source framework. Since they are not like native apps which work on single operating system, they are readily available on the embedded browser and are also available for sale on suitable app stores.

Now that you have a fair idea of both methods entail, let me take you through the comparative structure between them.

After this comparative structure, you can clearly see that both the methods have their own pros and cons. Native is user friendly but very costly, while Hybrid is low on costing but hampers the user experience.

Taking these different parameters into consideration will make it much easier for you to decide which app development method best suites your business need.

Finally, circling back to where we started, which one is best for your business? Here are my two cents:

• If your business is well established and you have high budget to offer, Native Mobile App Development is the best choice.
• If you have a start-up or your company is on a tight budget, you can start with the Hybrid Mobile App Development and then switch to the other if needed.

However, before reaching to any conclusion, make sure you dig into the depths of these methods and weigh their pros and cons against each other prior to deciding your best choice.

Reach out to us at Nitor Infotech to learn more about our services and take a look at our whitepaper for a comparative analysis of mobile app development platforms.

Diving into The Ocean of Big Data & Analytics

Today, the universe of data is continuously expanding at a speed that is much more than expected. At the start of 2020, the amount of data generated was estimated to be a little over 44 zettabytes! I’m sure it has well surpassed these numbers today.

This data is immensely complex and exists in the form of structured and unstructured data sets transmitted from a variety of sources and is known as big data

With this blog, let’s explore the what’s and why’s of big data, its importance, trending platforms, and its key results- diving into the depths of the big data ocean.

What is big data?

Big data refers to a large, diverse set of information that is growing exponentially. It often comes from data mining and is present in multiple formats. Big data attributes encompass the size, speed, and diversity at which the data is created and collected. These key attributes collectively form the three Vs of big data.

• Volume: Massive amounts of data being stored
• Velocity: Speed at which data must be processed and analyzed
• Variety: Different data sources and forms, such as numbers, text, video, images, audio, text, etc. from which data is gathered

We know that a massive amount of data is being generated constantly, but it’s equally important for companies and organizations to manage, store, visualize, and analyze it.

Traditional data tools aren’t equipped to handle this kind of complexity and volume, so, here are some modern-age big data platforms that can help businesses manage their data and thrive using it.

What are the 5 trending big data platforms?

In this competitive environment, each major big data platform offers slightly different functionalities to users according to their varied needs. Here are some of the exceptional big data platforms which are popular in the market:

• Amazon EMR
• Cloudera Data Platform
• Google Cloud Dataproc
• HPE Ezmeral Data Fabric
• Microsoft Azure HDInsight

How does big data analytics work?

To get valid and relevant results from big data analytics applications, data scientists have built practices for data preparation, data profiling, data cleansing, data validation, and data transformation.

Using customer data as an example, the various branches of analytics that can be explored with different sets of big data include the following:

• Data distribution and parallel processing: Breaking files into multiple small blocks (racks) stored in different units which are later processed and results are merged back together
• Failure tolerance: Enabling big data solutions to scale up even on cheap commodity hardware rather than expensive SAN disks
• Scalability & flexibility: Adding or removing racks from the cluster without worrying about the size for which this solution was designed
• Cost-effectiveness: Lowering the cost of expensive servers with failure-resistant disks (e.g. SAN)

How to build an effective big data strategy?

In an organization, developing a big data strategy requires a fair understanding of business goals, analysis of organizational data, and assessment of the need for additional data to help meet the business objectives. Here’s how an effective big data strategy can be built along with experienced service providers:

• Prioritizing planned use cases and applications: Identity, structure, and prioritize the most promising cases and tasks using big data conceptual or data-driven approach.
• Identifying new systems and tools needed: Recognize big data tools that can help you in handling huge business data sets and identifying patterns/ trends
• Creating a deployment roadmap: Build a big data implementation roadmap as per your business goals, the maturity of your data management environment, and the amount of risk your organization can absorb
• Evaluating internal skills: See if retraining/ hiring/ internal training is required to implement big data throughout your system

Want to find your future with big data?

Big data is gaining importance in organizations to manage their datasets no matter what size they are. So, I would say, it’s the best time for you to get started with an effective big data strategy by focusing on the above points to mitigate future risks and achieve business goals.

At last, wrapping up my blog. I hope it helped you understand big data, its importance, and the benefits you can achieve. If you wish to explore the big data ocean more, reach out to our dedicated big data specialists.

A Comparative Analysis Between React Native CLI & Expo CLI

 

In today’s competitive marketplace, application developers are gravitating towards hybrid applications 

that combine elements of both web and mobile applications. In order to do this, application developers are readily choosing React Native to build best-in-class applications owing to its many advantages such as low costs, modular architecture, strong performance, etc. Next step for them is to select between React Native CLI and Expo CLI to build their application.

Read our blog on a comparative analysis between the two tools that covers the various pros and cons of each and allows you to make a decision regarding which tool best suits your needs.