Couchbase Server Now Available on Amazon Web Services Marketplace

Leading NoSQL database available for purchase on AWS Marketplace, providing customers with simple, fast, elastic data management technology

SAN FRANCISCO April 19, 2012 – Couchbase, the leading NoSQL database company, today announced that Couchbase Server Enterprise Edition is now on Amazon Web Services Marketplace (AWS Marketplace), providing a convenient way for customers to find, purchase and immediately start using Couchbase Server in the Amazon Web Services cloud. Developers in over 190 countries can now launch Couchbase Server on AWS with a single click, pay by the hour for the software, and receive a single bill from AWS.

“Companies of all sizes are investing in NoSQL database technology to deliver the flexibility, scalability, and performance they need for interactive web applications,” said Bob Wiederhold, President and CEO of Couchbase. “The availability of Couchbase Server in the AWS Marketplace makes it even easier for developers – especially those interested in an hourly billing model – to take advantage of the power and proven performance of Couchbase Server, while enjoying the convenience of running and scaling their application in the Amazon cloud.”

“The ability of Couchbase’s solution to quickly and easily scale out data across servers while keeping the application always online was critical for our platform,” said Steven Goh, CEO of mig33, the world’s leading mobile and web community with over 50 million registered users worldwide using their integrated social entertainment services including instant messaging, chat, picture sharing and others. “We deploy Couchbase Server using Amazon Web Services and this combination allows us to dynamically scale our data store to match the changing needs of our application and our future growth requirements.”

The AWS Marketplace is an online store where developers and IT professionals can find, compare, and immediately start using software in the Amazon cloud. Access to the Couchbase Server will arm customers with a more scalable, high-performance and cost-effective approach to data management than relational database technology. There is no need to create and manage schemas, and never a need to normalize, shard or tune the database.

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