DynamoDB Users: Why Switching to Couchbase Will Save You Time and Money

Amazon’s DynamoDB database gives Amazon Web Services (AWS) customers easy access to a NoSQL system. Many AWS-based projects store their data in DynamoDB because of the presumed benefits of its tight integration with other AWS tools – but that doesn’t always make it the best tool for the job, especially since the quality of integration depends entirely on the willingness and technical know-how of the customers who choose it.

DynamoDB setups can run into performance issues and ballooning costs as the workload scales up, and successful implementation requires a lot of detailed planning. The system’s eventual consistency model also causes problems when your data needs to be available in real-time, and the DynamoDB platform’s proprietary query language may force you to retrain programmers and DBAs whose SQL-based experience simply doesn’t apply to this system.

Choosing Couchbase from the start can help you avoid these unexpected issues and vendor lock-in, preserving your ability to move data at will across clouds, an increasingly important feature in the hybrid world in which today’s enterprises operate.

In this paper, you will see how Couchbase was built from the ground up to provide excellent performance under many different workloads, with real-time data consistency on a global scale and a SQL for JSON query language that lets your staff apply the lessons they learned in the SQL-based world of relational databases.