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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

    Google Cloud Spanner

    Score5.6 out of 10
    N/AGoogle Cloud Spanner is a cloud database-as-a-service product offered as a service on Google Cloud Platform (GCP).N/A
    Pricing
    CouchbaseGoogle Cloud Spanner
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    CouchbaseGoogle Cloud Spanner
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    CouchbaseGoogle Cloud Spanner
    Considered Both Products
    Couchbase
    Chose Couchbase
    Google Cloud Spanner meant "vendor lock-in". Yugabyte was pre-mature for us at the time. MySQL was not meant for the size of our data.
    Incentivized
    Google
    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
    CouchbaseGoogle Cloud Spanner
    NoSQL Databases
    Comparison of NoSQL Databases features of Couchbase and Google Cloud Spanner
    Feature
    Couchbase
    8.9
    97 Ratings
    4% above category average
    Google Cloud Spanner
    -
    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
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Couchbase and Google Cloud Spanner
    Feature
    Couchbase
    -
    Ratings
    Google Cloud Spanner
    7.8
    2 Ratings
    8% below category average
    Automatic software patching00 Ratings8.82 Ratings
    Database scalability00 Ratings8.82 Ratings
    Automated backups00 Ratings10.01 Ratings
    Database security provisions00 Ratings5.82 Ratings
    Monitoring and metrics00 Ratings5.82 Ratings
    Automatic host deployment00 Ratings7.62 Ratings
    Best Alternatives
    CouchbaseGoogle Cloud Spanner
    Small Businesses
    IBM Cloudant
    Score7.4 out of 10
    MongoDB Atlas
    Score7.8 out of 10
    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    Azure Database
    Score8.8 out of 10
    Enterprises
    IBM Cloudant
    Score7.4 out of 10
    Google Cloud SQL
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    CouchbaseGoogle Cloud Spanner
    Likelihood to Recommend
    8.8
    (100 ratings)
    7.4
    (2 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
    CouchbaseGoogle Cloud Spanner
    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
    Google
    Google Cloud Spanner is suited for limitless horizontal scaling while maintaining strong consistency which needs to support ACID. NoSQL databases work in scaling but no ACID support. RDBMS support ACID, but horizontal scaling is not as great. The API it provides result in some limitations to related areas of the code, such as connection pools or database linking framework. So high # of connection pools can vary.
    Incentivized
    Read full review
    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
    Google
    • Super high availability
    • Scales automatically
    • High standard SLA
    Incentivized
    Read full review
    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
    Google
    • Support for Views
    • Support for more databases (schemas).
    • More index types that can be supported (Functional)
    • Backups (ie table/data backup) if data is deleted or truncate by accident.
    Incentivized
    Read full review
    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
    Google
    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
    Google
    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
    Read full review
    Google
    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
    Google
    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
    Google
    At that point, we were looking at something [that] can hold our relational database, [...] provide stable connection, and maintain high ACID transition. BigTable is for nonrelational database so it was out of our [sight] very quickly. BigQuery is a data warehouse that can hold huge amount of data but not ideal for transition. AWS RDS is [...] similar to Spanner but because most of our services are already on GCP, so we went with Spanner.
    Incentivized
    Read full review
    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
    Google
    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
    Google
    • Backups specifically if transactional data is deleted. Restoring made us lose time.
    • Sharding on Horizontal level was quick and easy. Deployment and increasing nodes is easy
    • Large dataset handling.
    • ACID compliance
    Incentivized
    Read full review
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