Database Startup Couchbase Introduces Multidimensional Scaling

Couchbase seeks to step out in front of the NoSQL data pack by offering multidimensional scaling, which it says will improve the querying and indexing of nonindexed databases.

Couchbase's multidimensional scaling is poised to be especially valuable to enterprises, which have been more frequently turning to using a combination of NoSQL platforms to meet the processing requirements they require, according to Matt Aslett, research director of data platforms and analytics at 451 Research.

NoSQL databases store and retrieve data in ways other than by using standard query practices in relational databases. The startup says it's NoSQL service gives enterprises more control over hardware provisioning and offers a more agile solution than turning to multiple database platforms.

The company notes hardware resources can be independently assigned and optimized node by node, as application requirements change. By isolating a query that can slow down overall performance and assigning to it either a small set of low-cost commodity servers or a large server with more computing power, businesses get faster results to their queries and the overall speed of computing isn't slowed. The same assigning process applies with index requests, making it faster and placing less drain on resources so computing speed doesn't slow.

"With Multidimensional Scaling, enterprises can independently assign and scale the index, query and data services to specific servers," says Aslett. "This improves performance, reduces hardware costs, and enables enterprises to support a much broader set of applications with a single database: Couchbase Server."

For querying, multidimensional scaling gives enterprises two routes to expediting the returns of information. Queries can be assigned to a collection of low-cost servers or two larger servers with more computing power.

Similarly, multidimensional scaling enables enterprises to assign indexing to specific servers to minimize the impact on overall disk usage. To speed up the data access times, Couchbase uses a one-two punch of storing data in memory and isolating commonly called data on commodity servers.

All of the elements of Couchbase's multidimensional scaling tech helps enterprises budget performance and support more applications with a singular database service, according to Bob Wiederhold, CEO of Couchbase. It's what is separating Couchbase from other database services, he says.

"Unlike MongoDB, Oracle, Cassandra, and other databases that have a limiting 'one size fits all' approach to scaling, Couchbase is enabling organizations to precisely provision hardware to meet application performance requirements," says Wiederhold.

Wiederhold and his company are somewhat in a position to take shots at competitors like that because Couchbase has been growing rapidly and attracting a lot of big names. Some of the startup's customers include AOL, AT&T, Bally's, Cisco, Comcast, Disney, eBay, PayPal, Tencent, Verizon and Wells Fargo.

Couchbase says it serves hundreds of other household names and its customer base has expanded well beyond the borders of the United States.

"We are experiencing tremendous growth in Europe as more and more European businesses, including Continental, Tesco and Ryanair, select Couchbase Server over other NoSQL solutions," said Wiederhold on March 19.

Photo: Andy Rogers | Flickr

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