MongoDB is a cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with schema. MongoDB is developed by MongoDB Inc. and licensed under the Server Side Public License (SSPL).
|Initial release||February 11, 2009|
4.0.10 / 31 May 2019
4.1.9 / 13 March 2019
|Operating system||Windows Vista and later, Linux, OS X 10.7 and later, Solaris, FreeBSD|
|License||Various; see § Licensing|
10gen software company began developing MongoDB in 2007 as a component of a planned platform as a service product. In 2009, the company shifted to an open source development model, with the company offering commercial support and other services. In 2013, 10gen changed its name to MongoDB Inc.
On October 20, 2017, MongoDB became a publicly traded company, listed on NASDAQ as MDB with an IPO price of $24 per share.
Ad hoc queriesEdit
Fields in a MongoDB document can be indexed with primary and secondary indices.
MongoDB provides high availability with replica sets. A replica set consists of two or more copies of the data. Each replica set member may act in the role of primary or secondary replica at any time. All writes and reads are done on the primary replica by default. Secondary replicas maintain a copy of the data of the primary using built-in replication. When a primary replica fails, the replica set automatically conducts an election process to determine which secondary should become the primary. Secondaries can optionally serve read operations, but that data is only eventually consistent by default.
MongoDB scales horizontally using sharding. The user chooses a shard key, which determines how the data in a collection will be distributed. The data is split into ranges (based on the shard key) and distributed across multiple shards. (A shard is a master with one or more replicas.). Alternatively, the shard key can be hashed to map to a shard – enabling an even data distribution.
MongoDB can run over multiple servers, balancing the load or duplicating data to keep the system up and running in case of hardware failure.
This function, called grid file system, is included with MongoDB drivers. MongoDB exposes functions for file manipulation and content to developers. GridFS can be accessed using mongofiles utility or plugins for Nginx and lighttpd. GridFS divides a file into parts, or chunks, and stores each of those chunks as a separate document.
MongoDB provides three ways to perform aggregation: the aggregation pipeline, the map-reduce function, and single-purpose aggregation methods.
Map-reduce can be used for batch processing of data and aggregation operations. But according to MongoDB's documentation, the Aggregation Pipeline provides better performance for most aggregation operations.
The aggregation framework enables users to obtain the kind of results for which the SQL GROUP BY clause is used. Aggregation operators can be strung together to form a pipeline – analogous to Unix pipes. The aggregation framework includes the $lookup operator which can join documents from multiple documents, as well as statistical operators such as standard deviation.
MongoDB supports fixed-size collections called capped collections. This type of collection maintains insertion order and, once the specified size has been reached, behaves like a circular queue.
MongoDB Community ServerEdit
The MongoDB Community Edition is free and available for Windows, Linux, and OS X.
MongoDB Enterprise ServerEdit
MongoDB Enterprise Server is the commercial edition of MongoDB, available as part of the MongoDB Enterprise Advanced subscription.
MongoDB is also available as an on-demand fully managed service. MongoDB Atlas runs on AWS, Microsoft Azure, and Google Cloud Platform.
Programming language accessibilityEdit
MongoDB has official drivers for major programming languages and development environments. There are also a large number of unofficial or community-supported drivers for other programming languages and frameworks.
Management and graphical front-endsEdit
The primary interface to the database has been the mongo shell. Since MongoDB 3.2, MongoDB Compass is introduced as the native GUI. There are products and third-party projects that offer user interfaces for administration and data viewing.
As of October 2018, MongoDB is released under the Server Side Public License (SSPL), a license developed by the project. It replaces the GNU Affero General Public License, and is nearly identical to the GNU General Public License version 3, but requires that those making the software publicly available as part of a "service" must make the service's entire source code available under this license. The SSPL was submitted for certification to the Open Source Initiative but later withdrawn. The language drivers are available under an Apache License. In addition, MongoDB Inc. offers proprietary licenses for MongoDB. The last versions licensed as AGPL version 3 are 4.0.3 (stable) and 4.1.4.
MongoDB has been dropped from the Debian, Fedora and Red Hat Enterprise Linux distributions due to the licensing change. Fedora determined that the SSPL version 1 is not a free software license because it is "intentionally crafted to be aggressively discriminatory" towards commercial users.
Bug reports and criticismsEdit
Due to the default security configuration of MongoDB, allowing anyone to have full access to the database, data from tens of thousands of MongoDB installations has been stolen. Furthermore, many MongoDB servers have been held for ransom.
From the MongoDB 2.6 release onwards, the binaries from the official MongoDB RPM and DEB packages bind to localhost by default. From MongoDB 3.6, this default behavior was extended to all MongoDB packages across all platforms. As a result, all networked connections to the database will be denied unless explicitly configured by an administrator.
In some failure scenarios where an application can access two distinct MongoDB processes, but these processes cannot access each other, it is possible for MongoDB to return stale reads. In this scenario it is also possible for MongoDB to roll back writes that have been acknowledged. This issue was addressed since version 3.4.0 released in November 2016 (and back-ported to v3.2.12).
Before version 2.2, locks were implemented on a per-server process basis. With version 2.2, locks were implemented at the database level. Since version 3.0, pluggable storage engines were introduced, and each storage engine may implement locks differently. With MongoDB 3.0 locks are implemented at the collection level for the MMAPv1 storage engine, while the WiredTiger storage engine uses an optimistic concurrency protocol that effectively provides document-level locking. Even with versions prior to 3.0, one approach to increase concurrency is to use sharding. In some situations, reads and writes will yield their locks. If MongoDB predicts a page is unlikely to be in memory, operations will yield their lock while the pages load. The use of lock yielding expanded greatly in 2.2.
Up until version 3.3.11, MongoDB could not do collation-based sorting and was limited to byte-wise comparison via memcmp which would not provide correct ordering for many non-English languages when used with a Unicode encoding. The issue was fixed on August 23, 2016.
With storage engine MMAPv1, MongoDB queries against an index are not atomic and can miss documents which are being updated while the query is running and match the query both before and after an update.  Prior to MongoDB 4.0 queries against an index were not atomic and could miss documents which were being updated while the query was running and match the query both before and after an update. The introduction of the snapshot read concern in MongoDB 4.0 eliminated this phenomenon. 
MongoDB is known to be used by the City of Chicago, Codecademy, Google Search, Foursquare, IBM, Orange S.A., The Gap, Inc., Uber, Coinbase, Sega, Barclays, HSBC, eBay, Cisco, Bosch and Urban Outfitters.
MongoDB World is an annual developer conference hosted by MongoDB, Inc.
- "State of MongoDB March, 2010". DB-Engines.
- "Release Notes for MongoDB 4.0 — MongoDB Manual". MongoDB.
- "Release 4.1.9". MongoDB.
- "How to Set Up a MongoDB NoSQL Cluster Using Oracle Solaris Zones". Oracle.
- "How-To: MongoDB on FreeBSD 10.x". FreeBSD News.
- "10gen embraces what it created, becomes MongoDB Inc". Gigaom. Retrieved January 29, 2016.
- Witkowski, Wallace (October 21, 2017). "MongoDB shares rally 34% in first day of trading above elevated IPO price". MarketWatch. Dow Jones. Retrieved February 26, 2018.
- Davis Kerby. "Why MongoDB is the way to go". DZone.
- "Ridiculously fast MongoDB replica recovery Part 1 of 2". ClusterHQ.
- "Turning MongoDB Replica Set to a Sharded Cluster". Severalnines.
- "GridFS & MongoDB: Pros & Cons". Compose.
- "NGINX plugin for MongoDB source code". GitHub.
- "lighttpd plugin for MongoDB source code". Bitbucket.
- Malick Md. "MongoDB overview". Expertstown.
- "Aggregation — MongoDB Manual". docs.mongodb.com. Retrieved August 14, 2018.
- "Map-Reduce — MongoDB Manual". docs.mongodb.com. Retrieved August 14, 2018.
- "MongoDB Drives NoSQL More Deeply into Enterprise Opportunities". June 27, 2018.
- "MongoDB Download Center". MongoDB. Retrieved August 14, 2018.
- "MongoDB Download Center". MongoDB. Retrieved August 14, 2018.
- "MongoDB Launces Global Clusters to Put Geographic Data Control Within Reach of Anyone". MongoDB. Retrieved June 27, 2018.
- MongoDB. "GitHub - mongodb/mongo". GitHub.
- Simon Bisson. "MongoDB Stitch: Serverless compute with a big difference". ZDNet.
- MongoDB. "MongoDB Stitch iOS SDK". GitHub.
- MongoDB. "MongoDB Stitch Android SDK". GitHub.
- Ma, Jason. "Visualizing Your Data With MongoDB Compass". Dzone. Dzone.com.
- Baer, Tony. "It's MongoDB's turn to change its open source license". ZDNet. Retrieved October 16, 2018.
- "MongoDB switches up its open source license". TechCrunch. Retrieved October 16, 2018.
- Vaughan-Nichols, Steven J. "MongoDB "open-source" Server Side Public License rejected". ZDNet. Retrieved January 17, 2019.
- "MongoDB's licensing changes led Red Hat to drop the database from the latest version of its server OS". GeekWire. January 16, 2019. Retrieved January 17, 2019.
- Krebs, Brian. "Extortionists Wipe Thousands of Databases, Victims Who Pay Up Get Stiffed". krebsonsecurity.com. Brian Krebs. Retrieved January 11, 2017.
- Constantin, Lucian. "Ransomware groups have deleted over 10,000 MongoDB databases". Computer World. IDG. Retrieved January 11, 2017.
- "MongoDB Bind IP Compatibility". MongoDB. MongoDB. Retrieved March 5, 2019.
- Kyle Kingsbury (April 20, 2015). "Call me maybe: MongoDB stale reads". Retrieved July 4, 2015.
- "Release Notes for MongoDB 3.4 — MongoDB Manual". https://github.com/mongodb/docs/blob/v4.0/source/release-notes/3.4.txt. External link in
- Kingsbury, Kyle (February 7, 2017). "MongoDB 3.4.0-rc3". Jepsen.
- "Atomicity, isolation & concurrency in MongoDB". scalegrid.io.
- "MongoDB Goes Pluggable with Storage Engines". datanami.com. March 5, 2015.
- Arborian Consulting. "MongoDB, MMAPv1, WiredTiger, Locking, and Queues". Arborian Consulting.
- Kenny Gorman. "MongoDB 3.0 WiredTiger Compression and Performance". Objectrocket.com/.
- Mikita Manko. "MongoDB performance bottlenecks, optimization Strategies for MongoDB". mikitamanko.com.
- scalegrid.io. "Atomicity, isolation & concurrency in MongoDB". scalegrid.io.
- Glasser, David (June 7, 2016). "MongoDB queries don't always return all matching documents!". Meteor Blog.
- "MongoDB Docs". Retrieved March 5, 2019.
- Esayas Aloto (November 4, 2015). "Who's Using MongoDB and Why?". Datavail. Retrieved November 12, 2018.
- "Companies that use MongoDB & MongoDB Integrations". StackShare. Retrieved November 12, 2018.
- "MongoDB World". www.mongodb.com.
- Banker, Kyle (March 28, 2011), MongoDB in Action (1st ed.), Manning, p. 375, ISBN 978-1-935182-87-0
- Chodorow, Kristina; Dirolf, Michael (September 23, 2010), MongoDB: The Definitive Guide (1st ed.), O'Reilly Media, p. 216, ISBN 978-1-4493-8156-1
- Pirtle, Mitch (March 3, 2011), MongoDB for Web Development (1st ed.), Addison-Wesley Professional, p. 360, ISBN 978-0-321-70533-4
- Hawkins, Tim; Plugge, Eelco; Membrey, Peter (September 26, 2010), The Definitive Guide to MongoDB: The NoSQL Database for Cloud and Desktop Computing (1st ed.), Apress, p. 350, ISBN 978-1-4302-3051-9