Looking to bolster query capabilities for its NoSQL database, Couchbase this week is trumpeting the arrival of its N1QL "next-generation" declarative query language, which brings SQL-like querying to Couchbase Server, the company's distributed, JSON document datastore.
The next version of the popular NoSQL database Couchbase Server will include a new approach to scaling out that aims to drastically increase performance for enterprises.
Splunk, a specialist in operational intelligence, and business intelligence platform provider Pentaho have formed an alliance designed to bring Splunk's machine-generated data out from the IT department and make it available to business users.
In an interview, the company's CEO and senior director of products discuss the mobile possibilities of their offering and defend Java's security
The challenges and promise of big data are front and center for CIOs and other business leaders. The initial applications that have leveraged big data have provided organizations with significant returns and given a glimpse into the power of big data and how it can be used to disrupt their competitive landscape.
Couchbase might seem like a bit of an outsider in the world of NoSQL datastores. After all, MongoDB grabs most of the limelight, while Cassandra and HBase have sewn up most of the big data world, and Redis has pretty much supplanted Memcache as the key/value cache that people reach for by default. But Couchbase has not been sitting on the sidelines looking in. You might not know it from Hacker News, but the use of Couchbase Server has been growing steadily for the past couple of years.
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