Likelihood to Recommend 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.
Read full review Although Google Cloud SQL has room for improvement by addressing a minor lack of features, its features and services keep it high among other SQL database products. It is very fast compared to others. Since it is cloud-based, maintenance is also easier. Integration capabilities are also more than expected.
Read full review Pros 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 Read full review Highly scalable without worrying about sudden transaction explosion during peak hours. Highly available with multiple geographical locations and regions for nearly 0 downtime to the users. Extremely reliable and responsive for high latency applications due to superb networking at the core. Read full review Cons 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. Read full review Increasing support for more database engines may enable a wider range of application needs to be met. Implementing and updating cutting-edge security features on a constant basis. Streamlining and enhancing the tools for transferring data to Google Cloud SQL from on-premises databases or other cloud providers. Read full review Likelihood to Renew 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
Read full review Usability 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 On demand scalability helps us provision extra resources as per our requirement and load on the application. Reduced cost due to fully managed services and no need to manage underlying infrastructure which reduced time of patching and maintaining underlying infrastructure. Easy to configure as per application requirements. Supports monitoring which is not available in custom hosted database instance on own computing infrastructure
Read full review Performance 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.
Read full review Support Rating 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 GCP support in general requires a support agreement. For small organizations like us, this is not affordable or reasonable. It would help if Google had a support mechanism for smaller organizations. It was a steep learning curve for us because this was our first entry into the cloud database world. Better documentation also would have helped.
Read full review Alternatives Considered 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.
Read full review Google SQL was great as a first SQL provision. It quickly enabled the apps to be built and scaled as needed for a while. It was robust and adaptable as needed and easy to export as needed when ready, depending on growth. Cost-wise, it's a good choice and requires little investment to get going.
Read full review Scalability 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
Read full review Return on Investment 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. Read full review With managed database system, it has given us near 100% data availability It has also improved web layer experience with faster processing and authentication using database fields Google Cloud SQL also gels up well with Google Analytics and other analytics systems for us to join up different data points and process them for deeper dives and analysis Read full review ScreenShots Google Cloud SQL Screenshots