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News about MongoDB
  • MEAN vs. LAMP for the future of programming

    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.

    Written by Peter Wayner23 June 15 05:49
  • N1QL: A SQL twist comes to document databases

    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.

    Written by Paul Krill05 June 15 00:35
  • Pentaho adds orchestration for Apache Spark jobs

    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.

    Written by Thor Olavsrud13 May 15 06:10
  • Meteor JavaScript framework hits Windows

    Until now, developers who wanted to build Web and mobile apps via the Meteor JavaScript framework had to do so via either Mac or Linux clients. That changes today with the release of Meteor 1.1, which features support for Windows clients as well as the MongoDB 3.0 database.

    Written by Paul Krill31 March 15 21:20
Features about MongoDB
  • First look: Couchbase's new SQL for NoSQL

    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.

    Written by Ian Pointer05 June 15 01:16

Whitepapers about MongoDB

  • Top 5 Considerations When Evaluating NoSQL Databases

    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.

Computerworld
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Techworld
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