Whitepaper

Moving from relational to NoSQL

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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.

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CHALLENGE #2
Lack of data flexibility

Oracle makes agile development more difficult, leading to slowdowns and downtime.

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CHALLENGE #3
Missing RDBMS features in NoSQL

Oracle has a hard time delivering low-latency performance for customer-facing applications.

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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, Amadeus
    20 million operations per second
    < 2.5 ms response times
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  • “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
    Read Customer Story See all stories
  • “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
    Read Customer Story See all stories
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
SQL to NoSQL: Automated migration

Migrating from Oracle to Couchbase: Key strategies and tools.

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Resources

Learn more about how Couchbase compares to Oracle

Documentation
Run your first SQL++ query
Learn how
Concepts
Distributed ACID transactions for NoSQL applications
Explore ACID
Video
Data migration from RDBMS to Couchbase
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Start building

Check out our developer portal to explore NoSQL, browse resources, and get started with tutorials.

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