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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Compute Engine

    Score8.8 out of 10
    N/AGoogle Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.

    $0

    per month GB

    TeamCity

    Score7.1 out of 10
    N/ATeamCity is a continuous integration server from Czeck company JetBrains.N/A
    Pricing
    Google Compute EngineTeamCity
    Editions & Modules
    Preemptible Price - Predefined Memory
    0.000892 / GB
    Hour
    Three-year commitment price - Predefined Memory
    $0.001907 / GB
    Hour
    One-year commitment price - Predefined Memory
    $0.002669 / GB
    Hour
    On-demand price - Predefined Memory
    $0.004237 / GB
    Hour
    Preemptible Price - Predefined vCPUs
    0.006655 / vCPU
    Hour
    Three-year commitment price - Predefined vCPUS
    $0.014225 / CPU
    Hour
    One-year commitment price - Predefined vCPUS
    $0.019915 / vCPU
    Hour
    On-demand price - Predefined vCPUS
    $0.031611 / vCPU
    Hour
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Compute EngineTeamCity
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsPrices vary according to region (i.e US central, east, & west time zones). Google Compute Engine also offers a discounted rate for a 1 & 3 year commitment.—
    More Pricing Information
    Community Pulse
    Google Compute EngineTeamCity
    Considered Both Products
    Google
    No answer on this topic
    JetBrains
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    45 Answers
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    44 Answers
    No answers on this topic
    Happy with the feature set
    96%
    Happy with the feature set
    44 Answers
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    91%
    Lived up to sales and marketing promises
    31 Answers
    No answers on this topic
    Implementation went as expected
    93%
    Implementation went as expected
    41 Answers
    No answers on this topic
    Features
    Google Compute EngineTeamCity
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of Google Compute Engine and TeamCity
    Feature
    Google Compute Engine
    8.0
    65 Ratings
    3% below category average
    TeamCity
    -
    Ratings
    Service-level Agreement (SLA) uptime8.125 Ratings00 Ratings
    Dynamic scaling7.860 Ratings00 Ratings
    Elastic load balancing9.353 Ratings00 Ratings
    Pre-configured templates9.562 Ratings00 Ratings
    Monitoring tools3.026 Ratings00 Ratings
    Pre-defined machine images9.464 Ratings00 Ratings
    Operating system support8.365 Ratings00 Ratings
    Security controls9.163 Ratings00 Ratings
    Automation7.92 Ratings00 Ratings
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    Google Compute EngineTeamCity
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    IBM Cloud Object Storage
    Score9 out of 10
    Apache Maven
    Score9.1 out of 10
    Medium-sized Companies
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    Apache Maven
    Score9.1 out of 10
    Enterprises
    SAP on IBM Cloud
    Score9 out of 10
    Gradle Build Tool (Open Source)
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Compute EngineTeamCity
    Likelihood to Recommend
    8.9
    (65 ratings)
    10.0
    (18 ratings)
    Likelihood to Renew
    6.9
    (3 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (9 ratings)
    -
    (0 ratings)
    Availability
    9.6
    (28 ratings)
    -
    (0 ratings)
    Performance
    9.0
    (28 ratings)
    9.3
    (2 ratings)
    Support Rating
    10.0
    (10 ratings)
    -
    (0 ratings)
    Product Scalability
    7.3
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Compute EngineTeamCity
    Likelihood to Recommend
    Google
    You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.
    Incentivized
    Read full review
    JetBrains
    TeamCity is very quick and straightforward to get up and running. A new server and a handful of agents could be brought online in easily under an hour. The professional tier is completely free, full-featured, and offers a huge amount of growth potential. TeamCity does exceptionally well in a small-scale business or enterprise setting.
    Incentivized
    Read full review
    Pros
    Google
    • Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
    • Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
    • Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs
    Incentivized
    Read full review
    JetBrains
    • TeamCity provides a great integration with git, especially Bitbucket.
    • When a new code release (build) fails TeamCity has a great tool for investigation and troubleshooting.
    • TeamCity provides a user-friendly interface. While some technical knowledge is required to use TeamCity, the design helps simply things.
    Incentivized
    Read full review
    Cons
    Google
    • Built-in monitoring via Stackdriver is quite expensive for what it provides.
    • Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
    • Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.
    Incentivized
    Read full review
    JetBrains
    • The customization is still fairly complex and is best managed by a dev support team. There is great flexibility, but with flexibility comes responsibility. It isn't always obvious to a developer how to make simple customizations.
    • Sometimes the process for dealing with errors in the process isn't obvious. Some paths to rerunning steps redo dependencies unnecessarily while other paths that don't are less obvious.
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.
    Incentivized
    Read full review
    JetBrains
    No answers on this topic
    Usability
    Google
    Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.
    Incentivized
    Read full review
    JetBrains
    No answers on this topic
    Reliability and Availability
    Google
    Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes
    Incentivized
    Read full review
    JetBrains
    No answers on this topic
    Performance
    Google
    It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.
    Incentivized
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    JetBrains
    TeamCity runs really well, even when sharing a small instance with other applications. The user interface adequately conveys important information without being overly bloated, and it is snappy. There isn't any significant overhead to build agents or unit test runners that we have measured.
    Incentivized
    Read full review
    Support Rating
    Google
    • The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
    • Google support was great and their presence on site was very helpful in dealing with various issues.
    Incentivized
    Read full review
    JetBrains
    No answers on this topic
    Alternatives Considered
    Google
    Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.
    Incentivized
    Read full review
    JetBrains
    TeamCity is a great on-premise Continuous Integration tool. Visual Studio Team Services (VSTS) is a hosted SAAS application in Microsoft's Cloud. VSTS is a Source Code Repository, Build and Release System, and Agile Project Management Platform - whereas TeamCity is a Build and Release System only. TeamCity's interface is easier to use than VSTS, and neither have a great deployment pipeline solution. But VSTS's natural integration with Microsoft products, Microsoft's Cloud, Integration with Azure Active Directory, and free, private, Source Code repository - offer additional features and capabilities not available with Team City alone.
    Incentivized
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    Scalability
    Google
    It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.
    Incentivized
    Read full review
    JetBrains
    No answers on this topic
    Return on Investment
    Google
    • With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
    • As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.
    Incentivized
    Read full review
    JetBrains
    • TeamCity has greatly improved team efficiency by streamlining our production and pre-production pipelines. We moved to TeamCity after seeing other teams have more success with it than we had with other tools.
    • TeamCity has helped the reliability of our product by easily allowing us to integrate unit testing, as well as full integration testing. This was not possible with other tools given our corporate firewall.
    • TeamCity's ability to include Docker containers in the pipeline steps has been crucial in improving our efficiency and reliability.
    Incentivized
    Read full review
    ScreenShots

    Google Compute Engine Screenshots

    Screenshot of How to choose the right VM
With thousands of applications, each with different requirements, which VM is right for you?Screenshot of documentation, guides, and reference architectures
Migration Center is Google Cloud's unified migration platform with features like cloud spend estimation, asset discovery, and a variety of tooling for different migration scenarios.