CHALLENGES
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.
CHALLENGE #1
Expensive and difficult to scale
Oracle costs 10-40x more with complex per-core licensing for servers with many cores.
CHALLENGE #2
Lack of data flexibility
Oracle makes agile development more difficult, leading to slowdowns and downtime.
CHALLENGE #3
Missing RDBMS features in NoSQL
Oracle has a hard time delivering low-latency performance for customer-facing applications.
FEATURES
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
CUSTOMERS
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, Amadeus20 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, Marriott4,000 transactions per second30M+ 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, LinkedIn10+ 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 u.name, AVG(o.total) AS avgOrderTotal
FROM users u
JOIN orders o ON u.userId = META(o).id
WHERE u.membershipLevel = 'Gold' AND u.status = 'active'
GROUP BY u.name
SELECT u.Name, AVG(o.Total) AS AvgOrderTotal
FROM Users u
JOIN Orders o ON u.UserId = o.UserId
WHERE u.MembershipLevel = 'Gold' AND u.Status = 'active'
GROUP BY u.Name