TechValidate Research on Couchbase


Couchbase Case Study

Large Enterprise Telecommunications Services Company

Introduction

This case study of a large 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.

“We’ve had a very positive experience with Couchbase.”

“We are using it in our Cloud DB team.”

Challenges

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

  • Experienced the following challenges prior to implementing Couchbase:
    • Poor database management
    • Performance
    • Reliability & resiliency
  • Evaluated the following vendors before choosing Couchbase:
    • MongoDB
    • DynamoDB
    • Azure Cosmos

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
    • Memory-first architecture
  • Describes their Couchbase deployment:
    • clusters: 10-50
    • nodes: 50-200

Results

The surveyed company achieved the following results with Couchbase:

  • Saw returned value within 3-6 months after implementing Couchbase.
  • Rates the following improvements since working with Couchbase:
    • lowered total cost of ownership: 50-74%
    • increased query performance: 50-74%
    • increased operational efficiency: 75%-100%
    • accelerated development cycles: 75%-100%
    • accelerated response times: 75%-100%
    • experienced a more efficient help desk: 50-74%
    • experienced more efficient database management: 75%-100%
    • improved application uptime & availability: 75%-100%
  • Values their Couchbase application/deployment at millions.




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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