MongoDB vs. Couchbase

Customers switching from MongoDB to Couchbase – on premises or in the cloud – consistently cite MongoDB’s poor performance when scaling, extra work integrating technologies, challenging mobile deployments, and cumbersome proprietary query language.


Key features of Couchbase vs. MongoDB

  • What’s included
  • JSON flexibility
  • Built-in cache
  • Mobile, edge, and peer-to-peer sync
  • SQL
  • Built-in full-text search
  • XDCR master-master replication
  • Automatic sharding
  • Masterless shared-nothing architecture
  • ACID transactions
  • Multi-dimensional scaling
  • Native vector search
  • Vector search on mobile
  • Couchbase
  • MongoDB
  • BSON
  • Basic sync, struggles with complexity, no P2P
  • Lucene-based and only available in Atlas

What customers are saying

  • “We see very consistent 500 microsecond response times from Couchbase even at very large scale.”
    Technical Lead, Cisco
    100B+ user sessions per year
    500 microsecond response times
  • "We found that the replication technology across data centers for Couchbase was superior, especially for large workloads."
    Claus Moldt, CIO, FICO
    <1 ms response times
    24x365 application uptime
  • “With less than half the servers, we can increase performance and gain a much better scalable architecture.”
    Amir Ish-Shalom, Sr. Director of Operations, Viber
    15 billion call and message events/day
    60% reduction in total servers