Couchbase - best NoSql solution in the market
Updated October 11, 2022

Couchbase - best NoSql solution in the market

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Software Version

Couchbase Enterprise Edition

Overall Satisfaction with Couchbase

We use Couchbase to store user data. We have millions of anonymous user data that need to be served on the front end in a timely fashion and we were looking for a service that can be robust. We were also looking for a flexible data schema. Couchbase was a perfect solution for both.

Pros

  • Flexible schema
  • Serves data very fast
  • Automated purging of old data

Cons

  • Query takes too long. It can be improved
  • Indexing can be faster
  • We support features we could not support before Couchbase. It increased revenue
  • We have control over devops now. That helped us cut down maintenance cost
  • Nosqltechnology gave use flexibility
We have not used any other product like Couchbase

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

Yes

Are you happy with Couchbase Server's feature set?

Yes

Did Couchbase Server live up to sales and marketing promises?

Yes

Did implementation of Couchbase Server go as expected?

Yes

Would you buy Couchbase Server again?

Yes

Couchbase is perfect to handle enormous amounts of data, especially when the data does not have a well-defined schema. Couchbase is way faster than an SQL server solution. Also, it can easily be scaled up and scaled-down. High performance in any cloud server. Also, Couchbase technical support is wonderful

Couchbase Server Feature Ratings

NoSQL Databases
8.7
Performance
9
Availability
9
Concurrency
9
Security
9
Scalability
9
Data model flexibility
9
Deployment model flexibility
7

Couchbase Reliability

Couchbase has high performance. It can handle very high data volume and serves data without any latency. The data schema is flexible and we can save any valid JSON. Also, it supports querying the data and returns the correct results on the data that matches the JSON structure. It can be very easily scaled up and down, based on traffic and performance.

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