Top 3 reasons for choosing Couchbase over Oracle

Enterprise customers are replacing relational databases with Couchbase’s modern NoSQL databases to power their modern applications with greater agility and better performance at a lower cost.


Key features of Couchbase vs. Oracle

  • What’s included
  • SQL
  • ACID transactions
  • Schema flexibility
  • Horizontal scaling
  • Automatic replication
  • Built-in caching
  • Multi-model support
  • Mobile and edge sync
  • Automatic sharding
  • Multi-dimensional scaling
  • Database logic
  • REST management API
  • Couchbase
  • Eventing, UDF
  • Oracle
  • Limited native sharding, complex
  • Sprocs, triggers, views

Success stories: From Oracle to Couchbase

  • “Couchbase was able to embrace with us our vision to the cloud, and that we wanted to operate data stores directly on PaaS.”
    Vincent Bersin, Unit Manager, NoSQL Solutions, Amadeus
    20 million operations per second
    < 2.5 ms response times
  • “For many years, we wanted a data store where we could go from the Java object right into the database without a big translation and overhead. This is it.”
    Thomas Vidnovic, Solutions Architect, Marriott
    4,000 transactions per second
    30M+ documents
  • “Couchbase is a highly scalable, distributed data store that plays a critical role in LinkedIn’s caching systems.”
    Michael Kehoe, Senior Staff Site Reliability Engineer, LinkedIn
    10+ million queries per second
    < 4 ms average latency
Code snippet

SQL++ is a full-featured SQL implementation, like PL/SQL, with JOINs, CTEs, and CRUD

SELECT, AVG( AS avgOrderTotal
FROM users u
JOIN orders o ON u.userId = META(o).id
WHERE u.membershipLevel = 'Gold' AND u.status = 'active'