Google Compute Engine vs Microsoft Azure

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Google Compute Engine

12.1K
9K
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422
Microsoft Azure

24.3K
17K
+ 1
768
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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.

Decisions about Google Compute Engine and Microsoft Azure

Albeit restricted to only a few places worlwide compared to its peers in the cloud segment, I am yet to find another provider capable of delivering a score over 5000 (Geekbench) in a benchmark on a single CPU machine, and each machine costs $6 a month. For homelab and experienced users who don't need DBaaS or IaaC's, it's a pretty straightforward choice. A more comprehensive review of Vultr's HF machines can be found here.

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Stephen Fox
Artificial Intelligence Fellow · | 2 upvotes · 188.4K views

GCE is much more user friendly than EC2, though Amazon has come a very long way since the early days (pre-2010's). This can be seen in how easy it is to edit the storage attached to an instance in GCE: it's under the instance details and is edited inline. In AWS you have to click the instance > click the storage block device (new screen) > click the edit option (new modal) > resize the volume > confirm (new model) then wait a very long time. Google's is nearly instant.

  • In both cases, the instance much be shut down.

There also the preference between "user burden-of-security" and automatic security: AWS goes for the former, GCE the latter.

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Pros of Google Compute Engine
Pros of Microsoft Azure
  • 87
    Backed by google
  • 79
    Easy to scale
  • 75
    High-performance virtual machines
  • 57
    Performance
  • 52
    Fast and easy provisioning
  • 15
    Load balancing
  • 12
    Compliance and security
  • 9
    Kubernetes
  • 8
    GitHub Integration
  • 7
    Consistency
  • 3
    Good documentation
  • 3
    One Click Setup Options
  • 3
    Free $300 credit (12 months)
  • 2
    Ease of Use and GitHub support
  • 2
    Great integration and product support
  • 2
    Escort
  • 1
    Integration with mobile notification services
  • 1
    Easy Snapshot and Backup feature
  • 1
    Low cost
  • 1
    Support many OS
  • 1
    Very Reliable
  • 1
    Nice UI
  • 114
    Scales well and quite easy
  • 96
    Can use .Net or open source tools
  • 81
    Startup friendly
  • 73
    Startup plans via BizSpark
  • 62
    High performance
  • 38
    Wide choice of services
  • 32
    Low cost
  • 32
    Lots of integrations
  • 31
    Reliability
  • 19
    Twillio & Github are directly accessible
  • 13
    RESTful API
  • 10
    PaaS
  • 10
    Enterprise Grade
  • 10
    Startup support
  • 8
    DocumentDB
  • 7
    In person support
  • 6
    Free for students
  • 6
    Service Bus
  • 6
    Virtual Machines
  • 5
    Redis Cache
  • 5
    It rocks
  • 4
    Storage, Backup, and Recovery
  • 4
    Infrastructure Services
  • 4
    SQL Databases
  • 4
    CDN
  • 3
    Integration
  • 3
    Scheduler
  • 3
    Preview Portal
  • 3
    HDInsight
  • 3
    Built on Node.js
  • 3
    Big Data
  • 3
    BizSpark 60k Azure Benefit
  • 3
    IaaS
  • 2
    Backup
  • 2
    Open cloud
  • 2
    Web
  • 2
    SaaS
  • 2
    Big Compute
  • 2
    Mobile
  • 2
    Media
  • 2
    Dev-Test
  • 2
    Storage
  • 2
    StorSimple
  • 2
    Machine Learning
  • 2
    Stream Analytics
  • 2
    Data Factory
  • 2
    Event Hubs
  • 2
    Virtual Network
  • 2
    ExpressRoute
  • 2
    Traffic Manager
  • 2
    Media Services
  • 2
    BizTalk Services
  • 2
    Site Recovery
  • 2
    Active Directory
  • 2
    Multi-Factor Authentication
  • 2
    Visual Studio Online
  • 2
    Application Insights
  • 2
    Automation
  • 2
    Operational Insights
  • 2
    Key Vault
  • 2
    Infrastructure near your customers
  • 2
    Easy Deployment
  • 1
    Enterprise customer preferences
  • 1
    Documentation
  • 1
    Security
  • 1
    Best cloud platfrom
  • 1
    Easy and fast to start with
  • 1
    Remote Debugging

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Cons of Google Compute Engine
Cons of Microsoft Azure
    Be the first to leave a con
    • 7
      Confusing UI
    • 2
      Expensive plesk on Azure

    Sign up to add or upvote consMake informed product decisions

    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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Google Compute Engine?
    What companies use Microsoft Azure?
    See which teams inside your own company are using Google Compute Engine or Microsoft Azure.
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    What tools integrate with Google Compute Engine?
    What tools integrate with Microsoft Azure?

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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
    It 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.
    See all alternatives