Monthly Archives

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 compare the differences and similarities between Digital Ocean App Platform vs Heroku according to its features and pricing.

Every developer dream of writing code, clicking a button, and automatically deploying and running the code at scale for a billion users.

However, deploying a web application to a production environment sounds challenging. Traditionally, a web server is required to be set up, in addition to a supporting software, operating system and libraries. This is followed by deploying a code, configuring it and monitoring it well to ensure efficient operation. 

Most developers do not want to be deeply involved in ‘operations,’ so the ideal alternative is to use a platform-as-a-service (PaaS) offering.

The platforms do not need any configuration, instead enable developers to simply push new code to the repository while being automatically deployed to the production environment.

In this article, let us compare the two of the most popular platforms by exploring the features, pricing and more. 

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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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This article will explore the differences and similarities between Aptible vs Heroku. It will cover the core features and pricing structure of each provider.  

Businesses of today are rapidly evolving while witnessing a seismic shift to constantly build high-performance applications.  

A reliable PaaS is an ideal solution to assist developers in achieving a streamlined API development and performing efficient process management. 

If you are looking for a platform service encompassing streamlined application deployment and management, you can look at the top two platforms in the market- Aptible and Heroku.  Keep reading to explore the two and how they differ from one another. 

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This article will explore the differences and similarities between Heroku vs Qovery. It will cover the core features and pricing of each provider.

If you are looking for a cloud platform solution that helps you to create, launch, monitor and scale apps, then there are multiple options available for you.

Cloud platform provides you the infrastructure that you will need to create and deploy robust and highly functional apps. It also allows you to test the app to ensure that it does not have any bugs and it performs as it is designed.

When you build an app with the help of Platform as a Service (PaaS), then you don’t have to worry about the infrastructure. The cloud development platform provides all the tools necessary for app development and deployment.

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This article will explore the differences and similarities between Gigalixir vs Heroku. It will cover the core features and pricing of these two platforms.

Platform-as-a-service models are growing exceptionally popular nowadays, allowing organizations to meet the increased demands of apps among users.

These cloud computing models deliver a platform that can be used to build, deploy, and manage business applications without the need to develop and maintain the backend infrastructure required by these apps. Easy access to a host of tools and services means developers can focus solely on writing and improving the code, thereby improving the productivity of the organization.

Heroku is one of the oldest PaaS implementations of its kind, offering container-based cloud computing to organizations. Originally supporting only Ruby, Heroku now supports and can host applications written in a wide range of languages.

Gigalixir is one of the newer implementations primarily written for Elixir, but now also supports a few other languages like Ruby, Node.js, and Java. 

In the following post, we take a look at the features of each platform in brief. If you have been wondering about a PaaS model for your upcoming projects, the following overview should help you make an informed decision.

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This article will explore the differences and similarities between Heroku vs AWS vs DigitalOcean. It will cover the features and pricing of each platform.

The cloud is quickly becoming one of the top C-suite agendas as businesses transform digitally in the new age. Organizations that navigate this change rapidly will stay ahead of the competition and explore new opportunities aligned with their capabilities.

That said, there are multiple cloud computing solutions available in the market. Each provider offers a different level of flexibility and is suited for unique workflows. Understanding the difference between various cloud computing solutions will be key to holistic end-to-end digital transformation.

Platform as a Service (PaaS) implementations, as the name suggests, provide a platform to organizations, on which they can build modern, high-performance applications at a much quicker pace. Being a cloud service, businesses do not need to worry about the infrastructure, allowing them to focus on improving the app experience for the end user.

PaaS providers also supply a bunch of tools and services that can be used to enable additional functionalities and improve the productivity of the workflow. Businesses can also leverage design tools and APIs to create customer-friendly applications and services with high-quality support.

On the other hand, Infrastructure as a Service (IaaS) providers offer crucial computing, networking, and storage resources on demand, typically on a pay-as-you-go model. IaaS solutions help you reduce the maintenance costs and complexities associated with on-premise computing solutions.

With IaaS, you get the flexibility to scale your resources up and down as per demand, which is an important step in reducing the hardware cost and increasing the reliability of the underlying infrastructure. You can quickly provision new applications without worrying about maintaining on-premises data centers.

In the following post, we take a look at three of the leading cloud computing platforms available for businesses at the moment. Digital Ocean is one of the most popular IaaS solutions mainly popular with open source software developers; Heroku is a unique PaaS solution offering container-based runtime environments, while AWS provides comprehensive cloud computing solutions encompassing all of these.

If you are looking for a cloud computing solution for your upcoming projects, the following list should help you get more information on which solution is better suited for your project.

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