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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud Bigtable

    Score9.7 out of 10
    N/AGoogle's Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads with up to 99.999% availability.

    $0.03

    per month

    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 Cloud BigtableIBM Cloud Databases
    Editions & Modules
    Backup Storage
    $0.026
    per month per GB
    HDD storage
    $0.026
    per month per GB
    SSD storage
    $0.17
    per month per GB
    Nodes
    $0.65/hour
    per month per node (minimum 1 nodes)
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Cloud BigtableIBM Cloud Databases
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Google Cloud BigtableIBM Cloud Databases
    Considered Both Products
    Google
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    94%
    Would buy again
    15 Answers
    Delivers good value for the price
    No answers on this topic
    80%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    16 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    93%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    No answers on this topic
    93%
    Implementation went as expected
    14 Answers
    Features
    Google Cloud BigtableIBM Cloud Databases
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google Cloud Bigtable and IBM Cloud Databases
    Feature
    Google Cloud Bigtable
    -
    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 Cloud BigtableIBM Cloud Databases
    Small Businesses
    No answers on this topic
    MongoDB Atlas
    Score7.8 out of 10
    Medium-sized Companies
    HBase
    Score7.3 out of 10
    Azure Database
    Score8.8 out of 10
    Enterprises
    Cassandra
    Score9 out of 10
    Google Cloud SQL
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud BigtableIBM Cloud Databases
    Likelihood to Recommend
    10.0
    (2 ratings)
    8.0
    (96 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.0
    (7 ratings)
    Usability
    9.0
    (2 ratings)
    8.0
    (7 ratings)
    Support Rating
    9.0
    (1 ratings)
    1.0
    (10 ratings)
    User Testimonials
    Google Cloud BigtableIBM Cloud Databases
    Likelihood to Recommend
    Google
    It works great for any use case that requires high throughput for reads and writes, for key-value kinda data. This enables you to use it for usecases where you need to retain data for a long term or even short term but then use it in pipelines to enrich data, sync states between backend and frontend or to quickly lookup say a user.
    Incentivized
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    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
    • Analytics: is at Google's heart. No on can beat Google in this space and BigTable is one of its implementation of this. The insights you gain from BigTable are simply usable in your day to day activities and can help you make real difference.
    • Speed: Processing TBs and PBs of data under minutes needs real efficient platform which is capable of doing much more than just processing data. All this data cannot be processed by a single machine, but rather huge pairs of machines working in conjuction with each other. BigTable's implementation is one of the finest and allows you achieve great speeds!
    • Interface: is great. Google has segregated required task under logically placed buttons which takes no time by users to understand and get habituated.
    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
    • Global replication
    • Complete SQL support
    • Size limit of 1MB
    Incentivized
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    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
    No answers on this topic
    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
    For big IT firms like us, data is very important and it only holds its value if it can make sense to us. Therefore, Bigtable's usability is priceless when it comes to decision making based on data.
    Incentivized
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    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
    Support Rating
    Google
    Google provides premium support services for BigTable which is absolutely blazing fast similar to Bigtable's performance.
    Incentivized
    Read full review
    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
    As a hosted solution, that can be managed easily from the Google cloud platform, it enables the teams to think about business use cases vs thinking about the management of the database itself. It is easily to scale it up when you need more throughput or storage. This keeps the developers and the product folks happy.
    Incentivized
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    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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    Return on Investment
    Google
    • Building new features that can leverage storage on the edge
    • Realtime decision making
    • Data enrichment
    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
    Read full review
    ScreenShots