| abstract | - MongoDB (from humongous, ==extremely large) wa kros-plätform dokyumènt-orienteited deitabeis sistems. Klassifaien as NoSQL deitābeis dè 1-gè, MongoDB wa tradiçionol teibol-beisen rīleiçionol deitābeis dè strùkcör ga avoiden en JSON-alàik dokyumènt-strùkcör ga prifören wiŧ dainämik sĥemās (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster. Released under a combination of the GNU Affero General Public License and the Apache License, MongoDB is free and open-source software. First developed by the software company 10gen (now MongoDB Inc.) in October 2007 as a component of a planned platform as a service product, the company shifted to an open source development model in 2009, with 10gen offering commercial support and other services. Since then, MongoDB has been adopted as backend software by a number of major websites and services, including Craigslist, eBay, Foursquare, SourceForge, Viacom, and the New York Times among others. MongoDB is the most popular NoSQL database system. MongoDB is built for scalability, performance and high availability, scaling from single server deployments to large, complex multi-site architectures. By leveraging in-memory computing, MongoDB provides high performance for both reads and writes. MongoDB’s native replication and automated failover enable enterprise-grade reliability and operational flexibility. MongoDB is an open-source database used by companies of all sizes, across all industries and for a wide variety of applications. It is an agile database that allows schemas to change quickly as applications evolve, while still providing the functionality developers expect from traditional databases, such as secondary indexes, a full query language and strict consistency. MongoDB has a rich client ecosystem including hadoop integration, officially supported drivers for 10 programming languages and environments, as well as 40 drivers supported by the user community. MongoDB features:
* JSON Data Model with Dynamic Schemas
* Auto-Sharding for Horizontal Scalability
* Built-In Replication for High Availability
* Rich Secondary Indexes, including geospatial
* TTL indexes
* Text Search
* Aggregation Framework & Native MapReduce
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