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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 Object Storage

    Score9 out of 10
    N/AIBM Cloud Object Storage is an IBM Cloud product in the endpoint backup and IaaS categories. It is commonly used for data archiving and backup, for web and mobile applications, and as scalable, persistent storage for analytics.

    $0

    per month

    Pricing
    Google Compute EngineIBM Cloud Object Storage
    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
    One-Rate Plan
    As low as USD $12/TB a month
    per month
    Standard Plan
    Free up to 5GB—no minimum fee, pay only for what you use
    per month
    Offerings
    Pricing Offerings
    Google Compute EngineIBM Cloud Object Storage
    Free Trial
    YesNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    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.The One-Rate and Standard service plans for Cloud Object Storage include resiliency options, flexible data classes and built-in security. Pricing is based on the choice of location, storage class and resiliency choice.
    More Pricing Information
    Community Pulse
    Google Compute EngineIBM Cloud Object Storage
    Considered Both Products
    Google
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    45 Answers
    95%
    Would buy again
    62 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    44 Answers
    98%
    Delivers good value for the price
    61 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    44 Answers
    95%
    Happy with the feature set
    62 Answers
    Lived up to sales and marketing promises
    91%
    Lived up to sales and marketing promises
    31 Answers
    96%
    Lived up to sales and marketing promises
    47 Answers
    Implementation went as expected
    93%
    Implementation went as expected
    41 Answers
    96%
    Implementation went as expected
    51 Answers
    Features
    Google Compute EngineIBM Cloud Object Storage
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of Google Compute Engine and IBM Cloud Object Storage
    Feature
    Google Compute Engine
    8.0
    65 Ratings
    3% below category average
    IBM Cloud Object Storage
    8.5
    156 Ratings
    3% above category average
    Service-level Agreement (SLA) uptime8.125 Ratings6.8144 Ratings
    Dynamic scaling7.860 Ratings8.9144 Ratings
    Elastic load balancing9.353 Ratings9.0141 Ratings
    Pre-configured templates9.562 Ratings00 Ratings
    Monitoring tools3.026 Ratings8.4145 Ratings
    Pre-defined machine images9.464 Ratings00 Ratings
    Operating system support8.365 Ratings00 Ratings
    Security controls9.163 Ratings9.4150 Ratings
    Automation7.92 Ratings00 Ratings
    Best Alternatives
    Google Compute EngineIBM Cloud Object Storage
    Small Businesses
    IBM Cloud Object Storage
    Score9 out of 10
    DigitalOcean Droplets
    Score9.7 out of 10
    Medium-sized Companies
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    Enterprises
    SAP on IBM Cloud
    Score9 out of 10
    SAP on IBM Cloud
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Compute EngineIBM Cloud Object Storage
    Likelihood to Recommend
    8.9
    (65 ratings)
    8.9
    (159 ratings)
    Likelihood to Renew
    6.9
    (3 ratings)
    9.1
    (2 ratings)
    Usability
    8.0
    (9 ratings)
    7.3
    (5 ratings)
    Availability
    9.6
    (28 ratings)
    9.0
    (1 ratings)
    Performance
    9.0
    (28 ratings)
    9.0
    (1 ratings)
    Support Rating
    10.0
    (10 ratings)
    9.1
    (8 ratings)
    Online Training
    -
    (0 ratings)
    7.3
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    5.8
    (4 ratings)
    Product Scalability
    7.3
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Compute EngineIBM Cloud Object Storage
    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
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    IBM
    In my experience, IBM Cloud Object Storage is well suited for projects like the one I am working on. This includes the use of natural language classification and the uploading of data to train a machine learning model for tag suggestions based on a body of text. Using IBM Cloud Object Storage has helped with this greatly. IBM Cloud Object Storage has also been great for Big Data Analytics thanks to its scalablilty and ease of use for large datasets. Alongside IBM Watson and our team's internal big data tools we've managed to process and analyze data more efficiently, leading to key insights that have driven business value for our clients.
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    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
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    IBM
    • IBM Cloud Object Storage is an excellent choice for disaster recovery and backup solutions. Its high durability and geographic redundancy ensure that our backup data is safe and can be quickly restored in case of a disaster. This capability is crucial for maintaining our business continuity and minimizing downtime. We have deployed our loads in an IKS cluster distributed in 3 different AZs with stateful data allocated in COS.
    • We have a video streaming application and need to store and deliver a vast library of video content to millions of users worldwide, so we store our data in COS, which is cheap and reliable.
    • We have a bunch of data that must be analyzed and stored in datasets for fraud detection, risk management, and customer insights. In these cases, this data is moved from Onprem to IBM Cloud so we can use cheap storage like COS.
    Incentivized
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    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
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    IBM
    • Searching and retrieving—full-text search or metadata search—is one of the significant areas of improvement. It isn't easy to search for data with this.
    • Integration with other IBM cloud services is trickier. For example, integrating this with API Connect to access the data from API will be difficult for users.
    • Support - I think you should have more support community.
    Incentivized
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    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
    because it is a robust, safe and flexible product
    Incentivized
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    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
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    IBM
    For my use cases, it has been a very smooth experience. Even my new colleagues have been able to get on top of things very quickly. This shows how easy it is to work with
    Incentivized
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    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
    We rarely face downtime or access issues with IBM Cloud Object Storage. It’s mostly available when we need it, even during peak hours or heavy data loads.
    Incentivized
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    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
    I would give it a 9 because it works smooth with our AI and analytics tools, no major slowdown. Pages and dashboards load fine most of the time, and reports finish in decent time even when data is heavy.
    Incentivized
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    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
    I have been working in IT sector for more than 15 years. I have worked with various vendors. IBM's sales team, support team have been really helpful. After we start to use their product, their UX design team also contacted us to get feedback from us. They are really interested about our experience.
    Incentivized
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    Online Training
    Google
    No answers on this topic
    IBM
    I just researching and applying the tools on their platforms to ensure a good learning path, based on my needs. Reading the documentation related with resources, tools. Is too big, but I am trying to know more about it every day. It is a good way to know more about their resources. A new way to attract new customers. At the end of the day, we are all involved in improvement and automation of our tasks and resources for customers and end-users.
    Incentivized
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    Implementation Rating
    Google
    No answers on this topic
    IBM
    Yes Our organization used IBM professional services to implement IBM object storage because of its data consistency and multiple way to upload and download data and its encryption security features. Also that its brand matter for the any organization to secure the layer and storage. It sis also verify that application and system are compatibale for this product
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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
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    IBM
    Amazon S3 is a great service to safely back up your data where redundancy is guaranteed, and the cost is fair. In the past I have used Amazon S3 for data that we backup and hope we never need to access, but in the case of a catastrophic or even small slip of the finger with the delete command, we know our data and our client's data is safely backed up by Amazon S3. Amazon S3 service is a good option, but based on the features it provides compared with IBM Cloud Object Storage, it is less suitable. IBM Cloud Object Storage is also integrated with more services, like IBM Cloud SQL and IBM Aspera, which AWS does not provide to transfer files at maximum speed in the world.
    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
    Scaling up the number of users can lead to significant increases in licensing costs, which, while not a technical limitation, can be a practical constraint for some organizations
    Incentivized
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    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
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    IBM
    • This allows us to recommend a platform to our clients that will quickly help them create new, efficient business processes with very little development.
    • This saves clients hours and days of manual analysis of images, allowing the system to do the work when attaching Object Storage to models.
    • There is a learning curve in utilizing the storage and the modeling, but once up and running, it works well during deployment.
    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.

    IBM Cloud Object Storage Screenshots

    Screenshot of Cloud Object Storage set upScreenshot of storage bucket creationScreenshot of the Access Management interfaceScreenshot of the interface to create, add and management of Storage BucketsScreenshot of data uploadingScreenshot of usage details