Couchbase vs. DynamoDB

Couchbase vs. DynamoDB: Better Performance and Deployment Flexibility at Lower Cost

Summary

Amazon makes sure its own DynamoDB is the most convenient NoSQL database for Amazon Web Services (AWS) customers to choose. But that convenience is often short-lived once the real work begins.

DynamoDB setups can run into performance issues and ballooning costs as your workload scales up. You’ll face problems when you need data available in real time. And DynamoDB’s proprietary query language adds yet another AWS service that your programmers and DBAs need to learn. Instead, you can deploy Couchbase on AWS in under 10 minutes and take advantage of the only database that combines the best of NoSQL, like high performance and multi-dimensional scaling, with the power and familiarity of SQL.

In this Podcast you will learn how Couchbase can help you:

Avoid DynamoDB’s item-size restrictions

Speed up performance with in-memory processing and built-in caching

Use your team’s existing SQL skills for writing complex queries

Easily implement hybrid or multicloud strategies to avoid vendor lock-in

Stop over-provisioning resources while cutting license and support costs by up to 50%

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Jeff Morris is VP, Product and Solution Marketing for Couchbase private software company in California. For over thirty years, Jeff Morris has been a passionate technology marketer and product manager who loves differentiating products and celebrating customer successes. In the past, he helped separate graph databases from the larger NoSQL market at Neo4j, defined "data products" at SaaS analytic provider, GoodData, and worked for two other Open Source Software vendors, starting with Sendmail before the turn of the century.