Monthly Archives

20 Articles

What is Firebase Cloud Messaging?

To make things easier for users, platforms like web apps and mobile applications need to have all the features. One of those necessary features is integrated messaging. This feature is required because the chats relate to that application’s functionality to stay organized.

Due to the increase in the number of applications, different platforms offer their messaging feature. One of the most used service providers for messaging services is Firebase, and here we will discuss everything you need to know about Firebase Cloud Messaging.

What is Firebase Authentication?

With all the technological advancements, more and more functionalities authentication plays a vital role in the online world. One of the biggest things to consider these days is security, and user authentication is one of the best solutions to ensure security at users’ end.

However, implementing this technology is not as easy as it seems, and the platforms like Firebase make it easier for the developers to implement authentication. The article will explain Firebase Authentication services and following the structure below:

  • Authentication Overview
  • Benefits of authentication
  • Overview of Firebase Authentication service
  • Firebase Authentication Advantages
  • Firebase Authentication Core Features
  • Firebase Authentication Pricing
  • Conclusion

Keep reading to know more.

Google Firestore Pricing for Dummies

Google Firestore is a powerful database solution that allows developers easy access to thoughtfully organized information, intuitive data management, and fully automated features that make it an essential tool for every developer.

Firestore is one of the most popular cloud services out there because of its accessibility, design, and affordability; many developers feel it is the perfect solution for businesses of any size. 

What is Firebase Machine Learning?

The present article will explain Firebase ML Kit, and it will cover the following structure:

  • Machine Learning General Concepts
  • Firebase ML Overview
  • ML Advantages
  • Firebase ML Core Features
  • Firebase ML Pricing Structure

Machine learning is now being introduced to mobile and web applications. It helps in providing a better user experience. When it comes to machine learning for the applications, there is a lot to learn about. Here we will discuss everything that you need to know about machine learning and Firebase machine learning.

The Best Mobile Backend APIs for your Application

Backend APIs are essential tools for the development and management of agile and feature-rich mobile applications. Many API backend services today contain useful features and functionalities that accelerate development tasks and help businesses service customers better. Take a look at some of the leading current mobile backend services mentioned below. 

This article explains Mobile Backend as a Service, APIs, and list the best API backend providers for mobile apps. Want to know more? Keep reading.

Top 10 Backend Programming Languages

Backend technologies are indispensable in the creation, running, and management of modern apps. In fact, selecting the right backend can make a difference between app development projects’ success or failure. That is why businesses of all sizes and IT decision-makers need to research the best backend for their project right from the planning phase. 

The right backend technology enhances hassles -free app operations by improving speed, scalability, and app responsiveness.  However, sieving through the options to select the best backend for an app project can be challenging. That is why we streamlined the top 10 backend technologies in this article. We hope it would help you select the best backend for your project faster. 

First, let’s talk about backends. 

React Native vs. Swift – Which One Should You Choose?

When it comes to mobile app development, developers are in a dilemma about selecting Swift or React Native for an application. Both of these technologies are relatively new. While Swift is Apple’s brand new programming language, React Native is a framework for JavaScript.

Below, you’ll find a detailed comparison between React Native and Swift, their pros and cons to help you make an informed decision. 

This article will follow the structure below:

  • Cross-Platform framework overview
  • Native app development overview
  • Advantages of cross-platform development
  • Advantages of native development
  • React Native Overview
    • Use cases
    • Advantages
    • Limitations
    • Famous apps
  • Swift Overview
    • Use cases
    • Advantages
    • Limitations
    • Famous apps
  • Swift vs. React Native | Comparison

Ready to know more?

Top 10 IDEs for React Native

Top 10 IDEs for React Native
React Native IDEs

In the world of feature demanding applications, it is getting tough for developers to develop applications that have an excellent user interface and have great features.

Moreover, the thing that is making it more difficult is that there are different platforms, and developers have to build applications separately for each operating systems like iOS and Android.

However, this problem is solved with the help of React Native that helps the developers create applications that have an excellent interface and have all the necessary and mind-blowing features ready to use for the users.

Do you want to build a React Native app? Please read the tutorial Building and deploying a React Native app.

The best part is that a mobile application will flawlessly work on all the platforms, so this amazingly saves time and cost for developers, along with saving a lot of effort. As this is a beautiful technology, many new and old developers are looking forward to this.

It is why many tools and IDEs now provide an environment for the development of React Native applications.

Real Time Analytics and Stream Processing: An Introduction

Real Time Analytics and Stream Processing: An Introduction
real time analytics

What is Real Time Analytics?

Real-time analytics makes it possible for organizations to capture live streams of data, process them very quickly, and extract insights or perform operations on the data in real time or near-real-time. It is based on stream processing technology that can handle a very high throughput of event data. 

There are two types of real time analytics:

  • On-demand analytics—providing data or computation results to users or applications in real time. For example, displaying the current product price to a user on an eCommerce site.
  • Continuous analytics—processing events on a continuous basis and streaming the results to end users, applications, or a data store. For example, showing live stock market data on a dashboard in a financial institution. 

Real-time analytics has many uses in the digital economy. For example, it can help businesses track customer data and respond with personalized offers, improving customer engagement. It  can enable rapid, automated response to shifts in the market, enabling dynamic pricing on eCommerce sites. Another common use is to process massive volumes of log or sensor data, from IT systems or internet of things (IoT) devices, and using them to drive business decisions.

In this article, you will learn:

  • What are Stream Processing Frameworks?
  • Top Stream Processing Frameworks
    • Amazon Kinesis
    • Azure Stream Analytics
    • Apache Spark
  • Best Practices for Real Time Analytics

Build, deploy and scale your app with Back4App Containers

Build, deploy and scale your app with Back4App Containers. Start today!