Item: Couchbase Server
Rating: 8
Author: Verified User

Use Cases and Deployment Scope

Used as a persistent cache, as well as for very quick storage and retrieval of large JSON docs. We are also storing some BLOBs (Binary Large Objects). This makes us able to react to changing requirements faster than if we were using a traditional relational database. We also use the ability to swap out the default serialiser in certain scenarios.

Pros and Cons

Fast retrieval of JSON data.
Resilience.
Great analytics.

Max number of bucket limitations.
Auth mechanism.
Cloud SaaS instance.

Return on Investment

Better resilience.
Faster performance.
Less time spent on support.

Performance

We have had our Couchbase cluster running for over 5 years, and it has given us very few headaches. It has mostly just sat there and keep chugging away.

We have had to add storage and additional resources as our needs have changed, but the cluster itself has performed very well for us.

Alternatives Considered

MongoDB

Couchbase is faster.

Other Software Used

Microsoft SQL Server, Azure Cosmos DB

Likelihood to Recommend

Good for very fast retrieval of JSON data. Not so good for typical relational work loads. Very good for aggregations - like counts, sums, etc. across millions or billions of rows.

Couchbase is a winner for extreme performance requirements

Overall Satisfaction with Couchbase