Item: Couchbase Server
Rating: 3
Author: Verified User

Use Cases and Deployment Scope

We use Couchbase at our company as our main production database. The business problem the product addresses is having to deal with the high throughput of big data at our organization and the scope of our use case is from staging environments via pre environments all the way to production and analytical services.

Pros and Cons

Key value cache
SQL like query
Replication

Indexing
Poor UI

Return on Investment

Fast key value persistent cache

Alternatives Considered

Google Cloud Spanner, YugabyteDB and MySQL

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.

Key Insights

Do you think Couchbase Server delivers good value for the price?

No

Are you happy with Couchbase Server's feature set?

No

Did Couchbase Server live up to sales and marketing promises?

No

Did implementation of Couchbase Server go as expected?

No

Would you buy Couchbase Server again?

No

Other Software Used

Google Kubernetes Engine, Google BigQuery, GitHub

Likelihood to Recommend

Couchbase used to be great for small startups that needed a document database that would expand well with future needs, but in recent years and newer versions, Couchbase took many components such AS XCDR and the K8s controller from the community version and moved them to the paid versions. Also, backup tools are very very poor in the community version.

Performance

3

Indexing takes a lot of time to master and it's very error-prone. There are not many tools available to help write indexes as should. Even with indexes fully covered, real big data performance is far from satisfying queries using indexes.

My experience as a first employee at a startup company using Couchbase

Software Version

Overall Satisfaction with Couchbase