Google Compute Engine vs Microsoft Azure

Google Compute Engine
Google Compute Engine

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Microsoft Azure

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Google Compute Engine vs Microsoft Azure: What are the differences?

Google Compute Engine: Run large-scale workloads on virtual machines hosted on Google's infrastructure. Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance; Microsoft Azure: Integrated cloud services and infrastructure to support computing, database, analytics, mobile, and web scenarios. Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.

Google Compute Engine and Microsoft Azure can be categorized as "Cloud Hosting" tools.

Some of the features offered by Google Compute Engine are:

  • High-performance virtual machines- Compute Engine’s Linux VMs are consistently performant, scalable, highly secure and reliable. Supported distros include Debian and CentOS. You can choose from micro-VMs to large instances.
  • Powered by Google’s global network- Create large compute clusters that benefit from strong and consistent cross-machine bandwidth. Connect to machines in other data centers and to other Google services using Google’s private global fiber network.
  • (Really) Pay for what you use- Google bills in minute-level increments (with a 10-minute minimum charge), so you don’t pay for unused computing time.

On the other hand, Microsoft Azure provides the following key features:

  • Use your OS, language, database, tool
  • Global datacenter footprint
  • Enterprise Grade with up to a 99.95% monthly SLA

"Backed by google", "Easy to scale" and "High-performance virtual machines" are the key factors why developers consider Google Compute Engine; whereas "Scales well and quite easy", "Can use .Net or open source tools" and "Startup friendly" are the primary reasons why Microsoft Azure is favored.

9GAG, Snapchat, and CircleCI are some of the popular companies that use Google Compute Engine, whereas Microsoft Azure is used by Microsoft, Starbucks, and Accenture. Google Compute Engine has a broader approval, being mentioned in 592 company stacks & 427 developers stacks; compared to Microsoft Azure, which is listed in 497 company stacks and 470 developer stacks.

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What is Google Compute Engine?

Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.

What is Microsoft Azure?

Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.

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    What are some alternatives to Google Compute Engine and Microsoft Azure?
    Google App Engine
    Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
    DigitalOcean
    We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.
    Google Cloud Platform
    It helps you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. It is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.
    Amazon EC2
    Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
    Kubernetes
    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
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    Decisions about Google Compute Engine and Microsoft Azure
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    Reviews of Google Compute Engine and Microsoft Azure
    Avatar of IanEdington
    Business Analyst
    Review ofMicrosoft AzureMicrosoft Azure

    Windows Azure is more difficult to configure than some other cloud based technologies, however, it makes up for it with the incredible integrations and ease of development on mobile platforms (Android, iOS and of course Windows Phone).

    The Azure Web Sites is a PaaS that is very easy to setup and is pretty powerful.

    If you want VMs you can have them and even program when they come online.

    There are tons of ways to use this service and there are a lot of free things you can get in order to try it out. The only downside is that you have to learn a new, although very powerful, platform.

    Review ofGoogle Compute EngineGoogle Compute Engine
    • I use Google Compute Engine instances as flexible, reproducible infrastructure that scale with my data science tasks.

    • Between Google Cloud and Amazon Web Services, I chose Google Cloud for its intuitive UI. SSH within the browser is very convenient.

    • Related blog post with example usage: Running an IPython Notebook on Google Compute Engine from Chrome

    How developers use Google Compute Engine and Microsoft Azure
    Avatar of Samuel Harrold
    Samuel Harrold uses Google Compute EngineGoogle Compute Engine
    • I use Google Compute Engine instances as flexible, reproducible infrastructure that scales with my data science tasks.
    • Between Google Cloud and Amazon Web Services, I chose Google Cloud for its intuitive UI. SSH within the browser is very convenient.
    • Related blog post with example usage: Running an IPython Notebook on Google Compute Engine from Chrome
    Avatar of MOKA Analytics
    MOKA Analytics uses Microsoft AzureMicrosoft Azure

    We use Microsoft Azure because many of our clients are already Azure for their private cloud. Additionally, Azure supports App Service Environments (ASE), which isolates the application resources and gives us a static IP for securely accessing external resources

    Additionally, MSSQL supports columnstore tables which is critical for running fast analytics over large datasets

    Avatar of Daniel Kovacs
    Daniel Kovacs uses Microsoft AzureMicrosoft Azure

    My favourite cloud with all the great tools - web apps, mobile apps, storages, easy tables, blobs, app insights, cosmos DB... I think it is really usable and ergonomic. Plus point for mobile app.

    Avatar of PSESD
    PSESD uses Microsoft AzureMicrosoft Azure

    We currently host PRS and EARS on Azure as they are .Net apps, but we are currently porting these services to Scala and will be hosting them on Heroku with the other P2 SRX services.

    Avatar of Onezino Gabriel
    Onezino Gabriel uses Microsoft AzureMicrosoft Azure

    Serviço utilizado para deploy de toda a infraestrutura do projeto. Colocamos todas as peças do serviço no azure, garantindo uma forma rápida e garantia de escalibilidade.

    Avatar of Sean Long
    Sean Long uses Microsoft AzureMicrosoft Azure

    Blackbaud makes use of Azure and my current job is with Blackbaud. Therefore, due to the free credit and the ability to reuse tools, I rely on Azure quite a bit.

    Avatar of Casey Smith
    Casey Smith uses Google Compute EngineGoogle Compute Engine

    Infrastructure for Google App Engine, Google Cloud Endpoints, Memcached, and Google Cloud SQL components, as well as Git repository and Jenkins CI server.

    Avatar of BitBank
    BitBank uses Google Compute EngineGoogle Compute Engine

    Compute engine is used to run our live forecaster and cron jobs

    Avatar of Jonathan Fries
    Jonathan Fries uses Google Compute EngineGoogle Compute Engine

    Ghost runs on a VM from Google Compute Engine.

    Avatar of Partners in School Innovation
    Partners in School Innovation uses Google Compute EngineGoogle Compute Engine

    Hosting our Bitnami PSQL instance

    How much does Google Compute Engine cost?
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