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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Cloudant

    Score7.4 out of 10
    N/ACloudant is an open source non-relational, distributed database service that requires zero-configuration. It's based on the Apache-backed CouchDB project and the creator of the open source BigCouch project. Cloudant's service provides integrated data management, search, and analytics engine designed for web applications. Cloudant scales your database on the CouchDB framework and provides hosting, administrative tools, analytics and commercial support for CouchDB and BigCouch. Cloudant is often…

    $1

    per month per GB of storage above the included 20 GB

    Google Cloud Bigtable

    Score9.8 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

    Pricing
    IBM CloudantGoogle Cloud Bigtable
    Editions & Modules
    Standard
    $1
    per month per GB of storage above the included 20 GB
    Standard
    $75
    per month 100 reads/second ; 50 writes/second ; 5 global queries/second
    Lite
    Free
    20 reads/second ; 10 writes/second ; 5 global queries / second ; 1 GB of storage capacity
    Standard
    Included
    per month 20 GB of storage
    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)
    Offerings
    Pricing Offerings
    IBM CloudantGoogle Cloud Bigtable
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM CloudantGoogle Cloud Bigtable
    Considered Both Products
    IBM
    No answer on this topic
    Google
    No answer on this topic
    Key User Insights
    Would buy again
    86%
    Would buy again
    6 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    5 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    7 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    7 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    7 Answers
    No answers on this topic
    Features
    IBM CloudantGoogle Cloud Bigtable
    NoSQL Databases
    Comparison of NoSQL Databases features of IBM Cloudant and Google Cloud Bigtable
    Feature
    IBM Cloudant
    9.1
    21 Ratings
    6% above category average
    Google Cloud Bigtable
    -
    Ratings
    Performance9.721 Ratings00 Ratings
    Availability8.321 Ratings00 Ratings
    Concurrency9.821 Ratings00 Ratings
    Security8.221 Ratings00 Ratings
    Scalability9.021 Ratings00 Ratings
    Data model flexibility9.821 Ratings00 Ratings
    Deployment model flexibility9.021 Ratings00 Ratings
    Best Alternatives
    IBM CloudantGoogle Cloud Bigtable
    Small Businesses
    RavenDB
    Score8.1 out of 10
    No answers on this topic
    Medium-sized Companies
    Amazon DynamoDB
    Score7.9 out of 10
    HBase
    Score7.3 out of 10
    Enterprises
    Amazon DynamoDB
    Score7.9 out of 10
    Cassandra
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM CloudantGoogle Cloud Bigtable
    Likelihood to Recommend
    7.0
    (45 ratings)
    10.0
    (2 ratings)
    Likelihood to Renew
    7.3
    (1 ratings)
    -
    (0 ratings)
    Usability
    7.7
    (5 ratings)
    9.0
    (2 ratings)
    Availability
    8.2
    (1 ratings)
    -
    (0 ratings)
    Performance
    8.2
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.6
    (4 ratings)
    9.0
    (1 ratings)
    Online Training
    7.3
    (2 ratings)
    -
    (0 ratings)
    Implementation Rating
    8.2
    (4 ratings)
    -
    (0 ratings)
    Configurability
    8.5
    (3 ratings)
    -
    (0 ratings)
    Product Scalability
    9.6
    (23 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    9.1
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM CloudantGoogle Cloud Bigtable
    Likelihood to Recommend
    IBM
    Our organization found Cloudant most suitable if One, a fixed pricing structure would make the most sense, for example in a situation where the project Cloudant is being used in makes its revenue in procurement or fixed retainer — thus the predictability of costs is paramount; Two, where you need to frequently edit the data and/or share access to the query engine to non-engineers — this is where the GUI shines.
    Incentivized
    Read full review
    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
    Read full review
    Pros
    IBM
    • For us, performance and scalability is the key, and Cloudant DB backed by CouchDB is scalable and performant.
    • IBM Cloudant dB is very easy to provision for sandbox, development, QA as well as production.
    • Support for Java for CouchDB app server analytics enables a greater control for over developers.
    • Schema free oriented very easy to program and build applications on it.
    • We love it!!
    Incentivized
    Read full review
    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
    Cons
    IBM
    • It was only after we went with the cloud-based solution that IBM rolled out an on-premise version.
    • We found that a 3rd-party ODBC driver was required for a few applications that needed to pull data out of Cloudant.
    • The sales process was difficult because the salesperson we used was not as versed on Cloudant as I had hoped.
    Incentivized
    Read full review
    Google
    • Global replication
    • Complete SQL support
    • Size limit of 1MB
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    the flexibility of NoSQL allow us to modify and upgrade our apps very fast and in a convenient way. Having the solution hosted by IBM is also giving us the chance to focus on features and the improvement of our apps. It's one thing less to be worried about
    Incentivized
    Read full review
    Google
    No answers on this topic
    Usability
    IBM
    It's mostly just a straight forward API to a data store. I knock one off for the full text search thing, but I don't need it much anyways. Also, the dashboard UI they give is pretty nice to use. It provides syntax-highlighting for writing views and queries are easy to test. I wish other DBs had a UI like this.
    Incentivized
    Read full review
    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
    Read full review
    Reliability and Availability
    IBM
    it is a highly available solution in the IBM cloud portfolio and hence we have never had any issues with the data base being available - we also do continuous replication to be on the safer side just in case some thing goes awry. We also perform twice a year disaster recovery tests.
    Incentivized
    Read full review
    Google
    No answers on this topic
    Performance
    IBM
    very easy to get started and is very developer friendly given that it uses couchDB analytics. It is a cloud based solution and hence there is no hardware investment in a server and staging the server to get started and the associated delays/bureaucracy involved to get started. Good documentation is also available.
    Incentivized
    Read full review
    Google
    No answers on this topic
    Support Rating
    IBM
    Very happy by the commitment given by the team which has been really good over the last 7 years of usage.
    Incentivized
    Read full review
    Google
    Google provides premium support services for BigTable which is absolutely blazing fast similar to Bigtable's performance.
    Incentivized
    Read full review
    Online Training
    IBM
    online resources are good enough to understand but there is nothing like testing. In our case, we discovered some not documented behavior that we take in count now. Also, the experience in NodeJs is critical. Also, take in count that most of the "good practices" with cloudant are not in online courses but in blogs and pages from independent developers
    Incentivized
    Read full review
    Google
    No answers on this topic
    Implementation Rating
    IBM
    • Test the architecture on CouchDB helped us to address initial design flaws.
    • The migration to Cloudant as such was very painless.
    • We have migrate our replication system to Cloudant Android Sync for mobile devices.
    • We have regular informal contact with the Cloudant leadership to discuss our use cases and implementation strategies.
    Incentivized
    Read full review
    Google
    No answers on this topic
    Alternatives Considered
    IBM
    The feature-set, including security, is very comparable. Overall, IBM's services added to the product are mature and stable, although product support and engineers could be a little better. Global availability is improving, and Disaster Recover Capabilities are great. Overall, it's very comparable to MongoDB as a DBaaS offer, available globally and with great documentation.
    Incentivized
    Read full review
    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
    Read full review
    Scalability
    IBM
    The service scales incredibly well. As you would expect from CloudDB and IBM combination. The only reason I wouldn't score it a 10 is the fact that document trees can get nested and nested very quickly if you are attempting to do very complex datasets. Which makes your code that much more complex to deal. Its very possible we could find a solution to this problem with better database planning to begin with, but one of the reasons we chose a service over a self-hosted solution was so we could set it up quick and forget about it. So we weren't going to dedicate a team to architecture optimization.
    Incentivized
    Read full review
    Google
    No answers on this topic
    Return on Investment
    IBM
    • IBM Cloudant is very secure and we never have to worry about losing data/unauthorized access
    • It is one of the best data backup system and works well
    • Global availability means it is easy to connect to the nearest data center and this reduces load time which is great.
    Read full review
    Google
    • Building new features that can leverage storage on the edge
    • Realtime decision making
    • Data enrichment
    Incentivized
    Read full review
    ScreenShots