Couchbase Adds Multi-Dimensional Scaling Option to NoSQL Database

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Six Big Business Intelligence Mistakes

One of the primary reasons that IT organizations look to NoSQL databases in the first place is to address managing data at scale. But not all NoSQL databases scale equally well.

Taking advantage of a protocol it developed to enable its open source NoSQL database to more easily scale out as needed, Couchbase today announced it has added a multi-dimensional scaling option with the 4.0 release of its namesake database.

Couchbase CEO Bob Wiederhold says Couchbase 4.0 allows IT organizations to isolate database query, index and data services in a way that allows hardware to be independently allocated to each function and then optimized on a per-node basis.

Wiederhold says that given the fact that databases are called on to perform different types of functions, it only make sense to allow organizations to optimize the performance attributes of those functions based on how the database is actually being used. As such, Couchbase developed a distributed protocol through which those processes can be independently managed, says Wiederhold.

As part of an effort to expand the appeal of Couchbase, the company today also announced it is creating Couchbase Developer Expert and Couchbase Champions programs to better recognize core contributors and community advocates who regularly contribute to Couchbase open source projects.

Data Management

In general, Wiederhold says that interest in Big Data projects based on NoSQL databases is now moving past the early adopter phase as these classes of applications begin to move into production. As such, how these applications will actually scale in practice is becoming a significant IT operations issue that will result in many organizations taking a harder look at the fundamental technologies provided inside a NoSQL database, says Wiederhold.

Obviously, Couchbase is betting such evaluations will push more organizations into its camp, assuming, of course, that some developer hasn’t short circuited the evaluation process by picking a NoSQL database without much consideration of all the potential IT operations issues that might be involved.