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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

    IBM Cloud Databases

    Score8 out of 10
    N/AIBM Cloud Databases are open source data stores for enterprise application development. Built on a Kubernetes foundation, they offer a database platform for serverless applications. They are designed to scale storage and compute resources seamlessly without being constrained by the limits of a single server. Natively integrated and available in the IBM Cloud console, these databases are now available through a consistent consumption, pricing, and interaction model. They aim to provide a cohesive…N/A
    Pricing
    Google Compute EngineIBM Cloud Databases
    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 EngineIBM Cloud Databases
    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 EngineIBM Cloud Databases
    Considered Both Products
    Google
    Chose Google Compute Engine
    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 …
    Incentivized
    IBM
    Chose IBM Cloud Databases
    Other options are lower priced, however IBM Compose has by far the best interface for managing and editing data within the database. It also has many forms of databases for us to deploy, beyond what we are currently using. So, in the event we need to add other services, we can …
    Incentivized
    Key User Insights
    Would buy again
    98%
    Would buy again
    45 Answers
    94%
    Would buy again
    15 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    44 Answers
    80%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    44 Answers
    100%
    Happy with the feature set
    16 Answers
    Lived up to sales and marketing promises
    91%
    Lived up to sales and marketing promises
    31 Answers
    93%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    93%
    Implementation went as expected
    41 Answers
    93%
    Implementation went as expected
    14 Answers
    Features
    Google Compute EngineIBM Cloud Databases
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of Google Compute Engine and IBM Cloud Databases
    Feature
    Google Compute Engine
    8.0
    65 Ratings
    3% below category average
    IBM Cloud Databases
    -
    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
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google Compute Engine and IBM Cloud Databases
    Feature
    Google Compute Engine
    -
    Ratings
    IBM Cloud Databases
    7.3
    94 Ratings
    14% below category average
    Automatic software patching00 Ratings8.577 Ratings
    Database scalability00 Ratings10.088 Ratings
    Automated backups00 Ratings7.091 Ratings
    Database security provisions00 Ratings9.084 Ratings
    Monitoring and metrics00 Ratings4.088 Ratings
    Automatic host deployment00 Ratings5.269 Ratings
    Best Alternatives
    Google Compute EngineIBM Cloud Databases
    Small Businesses
    IBM Cloud Object Storage
    Score9 out of 10
    MongoDB Atlas
    Score7.8 out of 10
    Medium-sized Companies
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    Azure Database
    Score8.8 out of 10
    Enterprises
    SAP on IBM Cloud
    Score9 out of 10
    Google Cloud SQL
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Compute EngineIBM Cloud Databases
    Likelihood to Recommend
    8.9
    (65 ratings)
    8.0
    (96 ratings)
    Likelihood to Renew
    6.9
    (3 ratings)
    8.0
    (7 ratings)
    Usability
    8.0
    (9 ratings)
    8.0
    (7 ratings)
    Availability
    9.6
    (28 ratings)
    -
    (0 ratings)
    Performance
    9.0
    (28 ratings)
    -
    (0 ratings)
    Support Rating
    10.0
    (10 ratings)
    1.0
    (10 ratings)
    Product Scalability
    7.3
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Compute EngineIBM Cloud Databases
    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
    IBM
    Less Appropriate Scenario: 1) Small Scale or Low Budget Projects 2) Organizations with limited expertise in cloud technologies may find the learning curve steep, especially if they are not familiar with the IBM Cloud platform 3) If database requirements are highly dynamic and change frequently, the comprehensive features and management provided by IBM Cloud Databases might be overkill. A more flexible, self-managed solution could be preferable for adapting to rapid changes.
    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
    IBM
    • The ease of setup was effortless. For anyone with development experience, a few simple questions such as name and login data will get you set up.
    • The web application to manage cluster settings, billing settings and even introspect the data was simple and most importantly worked all the time. This can not always be said for web interfaces of other products.
    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
    IBM
    • Better cost reports, before just increasing to another tier, thus increasing the price. This is critical for early stage startups, where budget is tight.
    • Add more data center options. As a comparison, a similar service, Aiven.io has dozen more options than Compose (basically all big cloud providers). We moved from AWS to Digital Ocean, which made us stop using Compose, since Compose forces us to be either on IBM or AWS.
    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
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    IBM
    IBM is our trusted partner which never failed to meet our expectations. Stability, efficiency, usability and security is a must have for our business which is fully provided by IBM Cloud Databases
    Incentivized
    Read full review
    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
    IBM
    IBM Cloud Databases' pricing structure is easy to understand, and if you choose the right product, you can operate your system at minimal cost. Although there is ample documentation available, there doesn't seem to be a user community running on it, so specific usage know-how and troubleshooting can sometimes take longer than expected.
    Read full review
    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
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    IBM
    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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    IBM
    No answers on this topic
    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
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    IBM
    Support is helpful enough, but we haven't always had questions answered in a satisfactory manner. At one time we realized that Compose had stopped taking database snapshots on its two-per-day schedule, and had in fact not taken one for many days. Support recognized the problem and it was fixed, but the lack of proactive checks and the inability to share exactly what happened has caused us to look elsewhere for production work loads
    Incentivized
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    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
    IBM
    The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go for rds.
    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
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    IBM
    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
    IBM
    • Prove use cases prior to administering entire platform, obtain ROI faster
    • Able to achieve the technological components of our advanced analytics team without full scale purchase of AI platform
    • Developed several studies to prove out cloud Db value, speed to deploy
    Incentivized
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    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.