TechValidate Research on Couchbase

Introduction

This case study of a medium enterprise banking 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.

Challenges

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

• Experienced the following challenges prior to implementing Couchbase:
  • Scaling
  • Performance
• Evaluated the following vendors before choosing Couchbase:
  • MongoDB
  • Oracle
  • Microsoft SQL
  • Postgres

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:
  • Cache
  • Memory-first architecture
• Is storing 10-50 million documents in Couchbase.
• Is storing 1 – 10 TB of data in Couchbase.
• Is running up to 50k requests/operations per second in Couchbase.
• Describes their Couchbase deployment:
  • Clusters: up to 10
  • Nodes: up to 10

Results

The surveyed company achieved the following results with Couchbase:

• Rates the following improvements since working with Couchbase:
  • Lowered total cost of ownership: 100%+
  • Increased query performance: 100%+
  • Increased operational efficiency: 100%+
  • Accelerated response times: 50-74%
  • Experienced more efficient database management: 50-74%

Introduction

This case study of CenterEdge Software is based on a July 2020 survey of Couchbase customers by TechValidate, a 3rd-party research service.

Challenges

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

• Experienced the following challenges prior to implementing Couchbase:
  • Scaling
  • Performance
• Evaluated the following vendors before choosing Couchbase:
  • MongoDB
  • Microsoft SQL

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
  • Memory-first architecture
• Is storing 500 million – 1 billion 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

Results

The surveyed company achieved the following results with Couchbase:

• Saw returned value immediately after implementing Couchbase.
• Rates the following improvements since working with Couchbase:
  • Lowered total cost of ownership: up to 25%
  • Increased operational efficiency: up to 25%
  • Accelerated development cycles: up to 25%
  • Accelerated response times: 100%+
  • Experienced more efficient database management: 25-49%
  • Improved application uptime & availability: up to 25%