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MongoDB is a high-performance, open source, schema-free document-oriented data store that is easy to deploy, manage and use. This network accessible software is written in C++. As the database is document-oriented it manages collections of JSON-like documents. Many applications can therefore model data in a more natural way, as data can be nested in complex hierarchies and still be query-able and indexable.

MongoDB consists of mongod, the database process, mongos, a sharding controller, and mongo (the database shell which uses interactive Javascript). The shell is extremely versatile letting developers view, insert, remove, and update data in their databases, as well as obtain replication information, setting up sharding, shut down servers, execute JavaScript, and much more.

High performance, scalability, and reasonable depth of functionality are the goals for the project. It is used in many different prouduction environments including Craigslist, SourceForge, The New York Times, Intuit, Business Insider, github, SecondMarket and others.

A number of graphical user interfaces have been created by independent developers. Examples include Mongo3, Fang of Mongo, RockMongo, and Opricot. The screenshot below is Fang of Mongo in operation.

 MongoDB 2.6.1

Free to download





System Requirements
xulrunner 1.9.2

Documentation, Quickstart Guide, FAQ, Tutorial, Blog, Forum, Facebook, LinkedIn, myNOSQL, NoSQLDatabases, Twitter

Selected Reviews:
wordnik, Business Insider

Features include:

  • Document-oriented storage - JSON-style documents with dynamic schemas offer simplicity and power
  • Full Index Support including on inner objects. Index on any attribute. It supports secondary indexes, including single-key, compound, unique, non-unique, and geospatial indexes
  • Replication & High Availability - Mirror across LANs and WANs for scale and peace of mind
    • Supports master-slave replication
  • Auto-Sharding for cloud-level scalability - Scale horizontally without compromising functionality
  • Querying - Rich, document-based queries
  • Cursors for query results
  • Fast In-Place Updates - Atomic modifiers for contention-free performance
  • Map/Reduce - Flexible aggregation and data processing.
  • GridFS - Store files of any size without complicating your stack
  • Aggregation
  • File storage - GridFS is used to store and retrieve files from the database
  • Efficient storage of binary data including large objects (e.g. videos)
  • Consistent UTF-8 encoding. Non-UTF-8 data can be saved, queried, and retrieved with a special binary data type
  • Ad hoc queries
  • Querying nested fields
  • Supports fixed-size collections called capped collections
  • Server-side Javascript execution
  • Official drivers for: C, C++, Java, Javascript, Perl, PHP, Ruby, Haskell, C#, and Scala
  • Commercial support is available

Fang of Mongo in action

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Last Updated Monday, May 26 2014 @ 10:48 AM EDT

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