From SQL to NoSQL

Couchbase eases your transition to NoSQL while providing the power of SQL, improving scalability and performance, and reducing complexity and risk

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CHALLENGES

Cost, reliability, and performance challenges

Couchbase addresses SQL Server’s challenges with easier scaling, enhanced performance for large data and joins, and streamlined replication and failover for efficient management.

CHALLENGE #1

Scale fail

Complex sharding, costly hardware upgrades, and intricate performance tuning make scaling difficult.

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CHALLENGE #2

Poor performance

Large data, complex joins, and heavy read-writes often lead to performance issues.

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CHALLENGE #3

Replication and failover

Complex setup, resource-intensive management, and potential synchronization issues increase risk.

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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

SQL Server
Limited native sharding, complex
Sprocs, triggers, views

CUSTOMERS

Success stories: From SQL Server to Couchbase

“Couchbase Full-Text Search allows us to deliver customer search results from extremely large datasets very efficiently.”

Brant Burnett, Systems Architect, CenterEdge Software

1,000+ accounts

20+ years serving the entertainment industry

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“We looked at multiple NoSQL options including MongoDB and Cassandra, and we really liked the architecture of Couchbase.”

Kris Alexander, Platform Architecture Lead, Gannett

75% reduction in licensing fees

140 million digital audience served each month

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“Couchbase Server provides a flexible data model, including full-text search integration, on which we can develop highly dynamic interactive applications.”

Director MHE Labs, McGraw-Hill Education

75,000+ indexed and ranked articles, videos, images

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CODE SNIPPET

SQL++: Full SQL features with JOINs, CTEs, CRUD, like T-SQL

				
			

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

Resources

Learn more about how Couchbase compares to SQL Server

Documentation

Run your first SQL++ query

Learn how

Concepts

Distributed ACID transactions for NoSQL applications

Explore ACID

Tutorial

Comparing document databases and relational databases

Read now

See All Resources

Start building

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

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Get hands-on with Couchbase in just a few clicks. Capella DBaaS is the easiest and fastest way to get started.

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From SQL to NoSQL

Is your cloud database ruining your application?

Cost, reliability, and performance challenges

Scale fail

Poor performance

Replication and failover

Key features of Couchbase vs. SQL Server

Success stories: From SQL Server to Couchbase

SQL++: Full SQL features with JOINs, CTEs, CRUD, like T-SQL

SQL to NoSQL: Automated migration

Learn more about how Couchbase compares to SQL Server

Run your first SQL++ query

Distributed ACID transactions for NoSQL applications

Comparing document databases and relational databases

Start building

Use Capella free

Get in touch