TechValidate Research on Couchbase

Couchbase Case Study

Medium Enterprise Telecommunications Services Company Uses N1QL to Accelerate Development Cycles by over 100%


This case study of a medium enterprise telecommunications services company is based on a July 2020 survey of Couchbase customers by TechValidate, a 3rd-party research service. The profiled company asked to have their name blinded to protect their confidentiality.

“It’s very powerful, easy to use, yet highly versatile.”


The business challenges that led the profiled company to evaluate and ultimately select Couchbase:

  • Experienced the following challenges prior to implementing Couchbase:
    • Scaling
    • Replication
    • Reliability & resiliency
  • Evaluated the following vendor before choosing Couchbase:
    • MongoDB

Use Case

The key features and functionalities of Couchbase that the surveyed company uses:

  • Values the following Couchbase features compared to other solutions they have used:
    • Flexible schema
    • Kubernetes
    • N1QL
    • XDCR
    • Memory-first architecture
  • Is storing 50 – 500 million documents in Couchbase.
  • Is storing 1 – 10 TB of data in Couchbase.
  • Is running 50k – 300k requests/operations per second in Couchbase.
  • Describes their Couchbase deployment:
    • Clusters: up to 10
    • Nodes: 10-50


The surveyed company achieved the following results with Couchbase:

  • Rates the following improvements since working with Couchbase:
    • Lowered total cost of ownership: 50-74%
    • Increased query performance: 75%-100%
    • Increased operational efficiency: 75%-100%
    • Accelerated development cycles: 100%+
    • Accelerated response times: 100%+
    • Experienced a more efficient help desk: 50-74%
    • Experienced more efficient database management: 100%+
    • Improved application uptime & availability: 100%+

About This Data

This data was sourced directly from verified users of Couchbase by TechValidate.

TechValidate verifies the identity and organizational affiliation of all participants that contribute to published research data. When research participants so desire, we also guarantee their anonymity so that they may share information honestly and freely.

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