A Boulder, Colorado-based startup announced today that it has raised $3.6 million in seed funding to build the commercial version of the SlamData open-source project, helping businesses visualize semi-structured NoSQL data.
The transition from cutting-edge curiosity to practical workhorse is not one that many technologies make. Yesterday's precocious upstarts often fail to live up to their Version 0.1 promise -- not so for the technologies that make up the fiercely acronymized MEAN stack.
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.
In the past several years, Pentaho Labs, the research arm of business analytics specialist Pentaho, set out to map the various big data use cases organizations were putting into production as part of an effort to provide big data blueprints, a big data stack if you will.
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.
Long gone is the twelve-to-eighteen month waterfall development cycle. Developers are working with applications that create new, rapidly changing data types as applications that once served a finite audience are now delivered as services that must be always-on. In this paper, we hope to help you navigate the complex and rapidly evolving domain of NoSQL and non-tabular databases.