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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Couchbase

    Score8.6 out of 10
    N/ACouchbase is a distributed NoSQL database platform that combines a JSON document store with a high-performance In-Memory architecture. The solution is designed to support high-throughput applications by integrating multiple data services—including Key-Value, Full-Text Search (FTS), Vector Search, and Real-Time Analytics—within a single unified platform.N/A

    Red Hat Data Grid

    N/AN/ARed Hat® Data Grid is an in-memory, distributed, NoSQL datastore solution used by applications to access, process, and analyze data at in-memory speed.N/A
    Pricing
    CouchbaseRed Hat Data Grid
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    CouchbaseRed Hat Data Grid
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    CouchbaseRed Hat Data Grid
    Considered Both Products
    Couchbase
    No answer on this topic
    Red Hat
    No answer on this topic
    Key User Insights
    Would buy again
    90%
    Would buy again
    27 Answers
    No answers on this topic
    Delivers good value for the price
    92%
    Delivers good value for the price
    22 Answers
    No answers on this topic
    Happy with the feature set
    93%
    Happy with the feature set
    28 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    95%
    Lived up to sales and marketing promises
    19 Answers
    No answers on this topic
    Implementation went as expected
    83%
    Implementation went as expected
    20 Answers
    No answers on this topic
    Features
    CouchbaseRed Hat Data Grid
    NoSQL Databases
    Comparison of NoSQL Databases features of Couchbase and Red Hat Data Grid
    Feature
    Couchbase
    8.9
    97 Ratings
    4% above category average
    Red Hat Data Grid
    -
    Ratings
    Performance8.997 Ratings00 Ratings
    Availability9.496 Ratings00 Ratings
    Concurrency8.994 Ratings00 Ratings
    Security9.094 Ratings00 Ratings
    Scalability9.495 Ratings00 Ratings
    Data model flexibility9.095 Ratings00 Ratings
    Deployment model flexibility8.094 Ratings00 Ratings
    Best Alternatives
    CouchbaseRed Hat Data Grid
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    IBM Cloudant
    Score7.4 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    IBM Cloudant
    Score7.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    CouchbaseRed Hat Data Grid
    Likelihood to Recommend
    8.8
    (100 ratings)
    -
    (0 ratings)
    Likelihood to Renew
    2.1
    (3 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (1 ratings)
    -
    (0 ratings)
    Availability
    8.0
    (1 ratings)
    -
    (0 ratings)
    Performance
    9.3
    (95 ratings)
    -
    (0 ratings)
    Support Rating
    8.5
    (5 ratings)
    -
    (0 ratings)
    Product Scalability
    7.0
    (52 ratings)
    -
    (0 ratings)
    User Testimonials
    CouchbaseRed Hat Data Grid
    Likelihood to Recommend
    Couchbase
    Best suited when edge devices have interrupted internet connection. And Couchbase provides reliable data transfer. If used for attachment Couchbase has a very poor offering. A hard limit of 20 MB is not okay. They have the best conflict resolution but not so great query language on Couchbase lite.
    Incentivized
    Read full review
    Red Hat
    No answers on this topic
    Pros
    Couchbase
    • Couchbase performance is exceptional both for in-memory and persisted transactions.
    • Handling of node failures and cluster rebalancing (high availability).
    • Enterprise support from Couchbase themselves
    • Good documentation
    • Streaming of bucket (database) level mutations via their Database Change Protocol (DCP).
    • Replication of datasets between native clients and Couchbase buckets
    • Handling of simultaneous writes to the same record with performance penalties
    Incentivized
    Read full review
    Red Hat
    No answers on this topic
    Cons
    Couchbase
    • The N1QL engine performs poorly compared to SQL engines due to the number of interactions needed, so if your use case involves the need for a lot of SQL-like query activity as opposed to the direct fetch of data in the form of a key/value map you may want to consider a RDBMS that has support for json data types so that you can more easily mix the use of relational and non-relational approaches to data access.
    • You have to be careful when using multiple capabilities (e.g. transactions with Sync Gateway) as you will typically run into problems where one technology may not operate correctly in combination with another.
    • There are quality problems with some newly released features, so be careful with being an early adopter unless you really need the capability. We somewhat desperately adopted the use of transactions, but went through multiple bughunt cycles with Couchbase working the kinks out.
    Incentivized
    Read full review
    Red Hat
    No answers on this topic
    Likelihood to Renew
    Couchbase
    I rarely actually use Couchbase Server, I just stay up-to-date with the features that it provides. However, when the need arises for a NoSQL datastore, then I will strongly consider it as an option
    Incentivized
    Read full review
    Red Hat
    No answers on this topic
    Usability
    Couchbase
    Couchbase has been quite a usable for our implementation. We had similar experience with our previous "trial" implementation, however it was short lived.
    Couchbase has so far exceeded expectation. Our implementation team is more confident than ever before.
    When we are Live for more than 6 months, I'm hoping to enhance this rating.
    Read full review
    Red Hat
    No answers on this topic
    Performance
    Couchbase
    One of Couchbase’s greatest assets is its performance with large datasets. Properly set up with well-sized clusters, it is also highly reliable and scalable. User management could be better though, and security often feels like an afterthought. Couchbase has improved tremendously since we started using it, so I am sure that these issues will be ironed out.
    Incentivized
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    Red Hat
    No answers on this topic
    Support Rating
    Couchbase
    I haven't had many opportunities to request support, I will look forward to better the rating. We have technical development and integration team who reach out directly to TAM at Couchbase.
    Read full review
    Red Hat
    No answers on this topic
    Alternatives Considered
    Couchbase
    The Apache Cassandra was one type of product used in our company for a couple of use-cases. The Aerospike is something we [analyzed] not so long time ago as an interesting alternative, due to its performance characteristics. The Oracle Coherence was and is still being used for [the] distributed caching use-case, but it will be replaced eventually by Couchbase. Though each of these products [has] its own strengths and weaknesses, we prefer sticking to Couchbase because of [the] experience we have with this product and because it is cost-effective for our organization.
    Incentivized
    Read full review
    Red Hat
    No answers on this topic
    Scalability
    Couchbase
    So far, the way that we mange and upgrade our clusters has be very smooth. It works like a dream when we use it in concert with AWS and their EC2 machines. Having access to powerful instances along side the Couchbase interface is amazing and allows us to do rebalances or maintenance without a worry
    Incentivized
    Read full review
    Red Hat
    No answers on this topic
    Return on Investment
    Couchbase
    • Great performance.
    • Leading Couchbase Lite capabilities for mobile use.
    • Developers' learning curve with replica reads and multi cluster can be long. Needs guidance and nurturing.
    • Cluster maintenance during OS patching, etc. has multiple ways to approach. Operational teams may need some guidance.
    Incentivized
    Read full review
    Red Hat
    No answers on this topic
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