Yearly Archives

This article will explore Firebase’s pros and cons. It will detail benefits like accelerating app development and removing the infrastructure hassles of managing an app. It will also explain limitations like vendor lock-in and running only on the Google Cloud Platform.

Firebase, a Google product, is extremely popular amongst app developers across the globe as it provides them with a robust and feature-rich mobile app development platform.

App developers can use this platform to create highly sophisticated and versatile Android, iOS, and web applications.

The Google Firebase, a back-end platform for mobile application development, helps the developers to develop apps faster, release them in the market, track their performance, and engage with the users.

This reliable platform with numerous tools allows developers to create and scale apps according to demand.

Firebase provides access to all those services, which the developers have to otherwise create themselves for developing apps.

Access to all the services allows the developers to focus more on creating a highly engaging user experience.

The services of Google Firebase are cloud-based, allowing developers to scale up the app when such a demand rises quickly.

This article will comprehensively summarize the Firebase app development platform by analyzing pros and cons of this robust BaaS (Backend as a Service).

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This article will explore the differences and similarities between Socket.io and Firebase. It will provide an overview of each provider, core features, and hosting options.

The open-source library, Socket.io enables real-time bidirectional event-based communication, and works on every browser, device, and platform.

On the other hand, Firebase is a cloud service that has been creatively designed to power collaborative and real-time applications.

Both use Websockets, with their own js layer implementation. Socket.IO and Firebase belong to the ‘Realtime Backend/API’ category of tech stack.

However, there underlie several differences between the two, distinguishing one from the other. Keep reading to unfold more about Socket.IO and Firebase whilst understanding their features, pricing, and more.  

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This article will explore the differences and similarities between Azure vs Firebase. It will provide an overview of each platform, core features, and pricing structure.

As the cloud-based approach is outgrowing in popularity, more and more businesses are adopting it for their own use.

Cloud computing offers benefits for both businesses and end-users, similarly, to web-based email clients.

Several cloud hosting tools allow businesses to manage challenges and meet organisational goals, and Azure and Firebase are the most notable ones equipped with power-packed features.

Let us explore more about Azure and Firebase, their features, and pricing to understand the best tool for your business needs. 

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This article will explore the best Firebase alternatives to run using underlying Azure infrastructure.

Cloud computing platforms are gaining in popularity as they provide scalable, cost-effective and highly flexible services. As per a recent report, the overall size of the cloud computing market in the US alone will surpass $947 billion by 2026 (source: Market and Market).

This is a big jump from 2021 when the market size was only $445.3 billion. The increasing popularity of cloud-based computing services points out that more and more businesses and developers are using PaaS, BaaS and IaaS modules instead of relying on the traditional app development model. 

When we talk about cloud computing vendors, two dominant names come to the fore-Firebase and Azure. However, many businesses and developers are also a bit confused between these two.

This article will help you to understand these two platforms better by sharing with you all the necessary details about Azure and Firebase. This will help you to figure out whether Firebase is a true alternative to Azure.

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This article will compare Heroku vs PythonAnywhere according to its features and pricing structure.

While cloud computing has been around for nearly two decades now, it is now more than ever that organizations across industries are starting to understand its benefits.

With an exponential increase in data use only in this decade, it is becoming more and more difficult for organizations to manage the increased workload using traditional means. Cloud computing enables these businesses to handle peak workloads efficiently without spending a fortune on upgrading hardware.

Heroku is one of the first cloud computing platforms in the world and now is very popular due to the scaling capabilities enabled by its container-based model. PythonAnywhere is a fully configured python environment that is rapidly growing in popularity ever since its launch.

In the following post, we take a look at the features and pricing models of both Heroku and PythonAnywhere in an attempt to distinguish the two cloud computing platforms.

If you have been wondering about using either for installing and running a Python app, the following should help you make an informed decision for your upcoming projects.

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This article will compare the Heroku vs Vultr according to its features and pricing structure.

The ever-growing importance of cloud computing has left several businesses searching for vendors that offer broad cloud hosting solutions.

There are several different models of cloud computing depending on who wants to control how much. As a result, businesses have to carefully assess different models of cloud computing and select one that best suits their business approach.

In the following article, we take a look at two of the most popular cloud computing models in the form of Vultr and Heroku.

If you have been wondering about which model to choose for your upcoming projects, this post should help you make an informed decision.

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This article will compare AWS vs Google Cloud vs Heroku according to its features and pricing structure.

Cloud computing has proved its existence in multiple fields for decades. It uses distributed resources such as data centers and remote servers to accomplish tasks.  

With cloud computing services being on the rise, it has become crucial to leverage it across all organizations. 

According to a study, 69% of businesses already use cloud technology in one capacity or another. On the other hand, 18% say they plan to implement cloud-computing solutions at a significant point in time.

As the data shows in a study by Dell, companies investing in cloud, big data, security, and mobility enjoy up to 53% faster revenue growth than their competitors. 

Many industry leaders recognize the many benefits of the cloud computing trend. The technology is being used to run organizations, dramatically increase profit margins, serve the customers, and run the organizations.

Developers are often torn between choosing the right platform for the app. Let go of your doubts and evaluate the three notable platform choice of the present times. Keep reading to explore the three platforms and know how they differentiate from one another. 

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This article will explore some of the best technologies to use for backend development. It will cover backend development tools, backend frameworks, and backend programming languages.

Backend plays a crucial role in server-side programming. But it is still complicated for many startups, businesses and novice developers what to use for backend.

Whether you are going to develop the backend of your web, desktop or mobile applications, this guide is definitely discussing everything to use for the backend.

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