MongoDB

MongoDB

Developer(s)	MongoDB Inc.
Initial release	February 11, 2009 (2009-02-11)
Stable release	6.0.7  / 28 June 2023，11 months ago
Repository	github.com/mongodb/mongo
Written in	C++, JavaScript, Python
Operating system	Windows Vista and later, Linux, OS X 10.7 and later, Solaris, FreeBSD
Available in	English
Type	Document-oriented database
License	Server Side Public License or proprietary
Website	mongodb.com

MongoDB is a source-available, cross-platform, document-oriented database program. Classified as a NoSQL database product, MongoDB utilizes JSON-like documents with optional schemas. MongoDB is developed by MongoDB Inc. and current versions are licensed under the Server Side Public License (SSPL). MongoDB is a member of the MACH Alliance.

History

See also: MongoDB Inc. § History

The American software company 10gen 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 and began 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.

On November 8, 2018 with the stable release 4.0.4, the software's license changed from AGPL 3.0 to SSPL.

On October 30, 2019, MongoDB teamed with Alibaba Cloud to offer Alibaba Cloud customers a MongoDB-as-a-service solution. Customers can use the managed offering from Alibaba's global data centers.

MongoDB release history

Version	Release date	Feature notes	Refs
1.0	August 2009
1.2	December 2009	more indexes per collection faster index creation map/reduce stored JavaScript functions configurable fsync time several small features and fixes
1.4	March 2010
1.6	August 2010	production-ready sharding replica sets support for IPv6
1.8	March 2011
2.0	September 2011
2.2	August 2012
2.4	March 2013	enhanced geospatial support switch to V8 JavaScript engine security enhancements text search (beta) hashed index
2.6	April 8, 2014	aggregation enhancements text-search integration query-engine improvements new write-operation protocol security enhancements
3.0	March 3, 2015	WiredTiger storage engine support pluggable storage engine API SCRAM-SHA-1 authentication improved explain functionality MongoDB Ops Manager
3.2	December 8, 2015	WiredTiger storage engine by default replication election enhancements config servers as replica sets readConcern document validations moved from V8 to SpiderMonkey
3.4	November 29, 2016	linearizable read concerns views collation
3.6	November 2017
4.0	June 2018	transactions license change effective pr. 4.0.4
4.2	August 2019
4.4	July 2020
4.4.5	April 2021
4.4.6	May 2021
5.0	July 13, 2021	future-proofs versioned API client-side field level encryption live resharding time series support
6.0	July 2022
7.0	August, 15 2023

Main features

Ad-hoc queries

MongoDB supports field, range query and regular-expression searches. Queries can return specific fields of documents and also include user-defined JavaScript functions. Queries can also be configured to return a random sample of results of a given size.

Indexing

Fields in a MongoDB document can be indexed with primary and secondary indices.

Replication

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.

If the replicated MongoDB deployment only has a single secondary member, a separate daemon called an arbiter must be added to the set. It has the single responsibility of resolving the election of the new primary. As a consequence, an ideal distributed MongoDB deployment requires at least three separate servers, even in the case of just one primary and one secondary.

Load balancing

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, which are masters 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 functional in case of hardware failure.

File storage

MongoDB can be used as a file system, called GridFS, with load-balancing and data-replication features over multiple machines for storing files.

This function, called a grid file system, is included with MongoDB drivers. MongoDB exposes functions for file manipulation and content to developers. GridFS can be accessed using the 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.

Aggregation

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. However, according to MongoDB's documentation, the aggregation pipeline provides better performance for most aggregation operations.

The aggregation framework enables users to obtain results similar to those returned by queries that include the SQL GROUP BY clause. 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 collections, as well as statistical operators such as standard deviation.

Server-side JavaScript execution

JavaScript can be used in queries, aggregation functions (such as MapReduce) and sent directly to the database to be executed.

Capped collections

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.

Transactions

MongoDB supports multi-document ACID transactions since the 4.0 release in June 2018.

Editions

MongoDB Community Server

The MongoDB Community Edition is free and available for Windows, Linux and macOS.

MongoDB Enterprise Server

MongoDB Enterprise Server is the commercial edition of MongoDB and is available as part of the MongoDB Enterprise Advanced subscription.

MongoDB Atlas

MongoDB is also available as an on-demand, fully managed service. MongoDB Atlas runs on AWS, Microsoft Azure and Google Cloud Platform.

On March 10, 2022, MongoDB warned its users in Russia and Belarus that their data stored on the MongoDB Atlas platform will be destroyed as a result of American sanctions related to the Russo-Ukrainian War.

Architecture

Programming language accessibility

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-ends

Record insertion in MongoDB with Robomongo 0.8.5

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.

Licensing

MongoDB Community Server

As of October 2018, MongoDB is released under the Server Side Public License (SSPL), a non-free 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 (insofar that a user would be able to recreate the service themselves) available under this license. By contrast, the AGPL only requires the source code of the licensed software to be provided to users when the software is conveyed over a network. The SSPL was submitted for certification to the Open Source Initiative but later withdrawn. In January 2021, the Open Source Initiative stated that SSPL is not an open source license. 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 removed from the Debian, Fedora and Red Hat Enterprise Linux distributions because of 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 criticisms

Security

Because of MongoDB's default security configuration, which allows any user 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. In September 2017, Davi Ottenheimer head of product security at MongoDB, proclaimed that measures had been taken to defend against these risks.

From the MongoDB 2.6 release onward, the binaries for 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 are denied unless explicitly configured by an administrator.

Technical criticisms

In some failure scenarios in which an application can access two distinct MongoDB processes that cannot access each other, it is possible for MongoDB to return stale reads. It is also possible for MongoDB to roll back writes that have been acknowledged. The issue was addressed in version 3.4.0, released in November 2016, and applied to earlier releases from v3.2.12 onward.

Before version 2.2, locks were implemented on a per-server-process basis. With version 2.2, locks were implemented at the database level. Beginning with version 3.0, pluggable storage engines are available, 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 that 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 version 2.2.

Until version 3.3.11, MongoDB could not perform collation-based sorting and was limited to bytewise 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.

Prior to MongoDB 4.0, queries against an index were not atomic. Documents that were updated while queries was running could be missed. The introduction of the snapshot read concern in MongoDB 4.0 eliminated this risk.

MongoDB claimed that version 3.6.4 had passed "the industry's toughest data safety, correctness, and consistency tests" by Jepsen, and that "MongoDB offers among the strongest data consistency, correctness, and safety guarantees of any database available today." Jepsen, which describes itself as a "distributed systems safety research company," disputed both claims on Twitter, saying, "In that report, MongoDB lost data and violated causal by default." In its May 2020 report on MongoDB version 4.2.6, Jepsen wrote that MongoDB had only mentioned tests that version 3.6.4 had passed, and that version had 4.2.6 introduced more problems. Jepsen's test summary reads in part:

Jepsen evaluated MongoDB version 4.2.6, and found that even at the strongest levels of read and write concern, it failed to preserve snapshot isolation. Instead, Jepsen observed read skew, cyclic information flow, duplicate writes, and internal consistency violations. Weak defaults meant that transactions could lose writes and allow dirty reads, even downgrading requested safety levels at the database and collection level. Moreover, the snapshot read concern did not guarantee snapshot unless paired with write concern majority—even for read-only transactions. These design choices complicate the safe use of MongoDB transactions.

On May 26, Jepsen updated the report to say: "MongoDB identified a bug in the transaction retry mechanism which they believe was responsible for the anomalies observed in this report; a patch is scheduled for 4.2.8." The issue has been patched as of that version, and "Jepsen criticisms of the default write concerns have also been addressed, with the default write concern now elevated to the majority concern (w:majority) from MongoDB 5.0."

MongoDB conference

MongoDB Inc. hosts an annual developer conference that has been called MongoDB World or MongoDB.live.

Year	Dates	City	Venue	Notes
2014	June 23–25	New York	Sheraton Times Square Hotel
2015	June 1–2	New York	Sheraton Times Square Hotel
2016	June 28–29	New York	New York Hilton Midtown
2017	June 20–21	Chicago	Hyatt Regency Chicago	First year not in New York City
2018	June 26–27	New York	New York Hilton Midtown
2019	June 17–19	New York	New York Hilton Midtown
2020	May 4–6		Online	In‑person event canceled and conference held entirely online because of the COVID-19 pandemic
2021	July 13–14		Online	Conference held online because of the COVID-19 pandemic
2022	June 7–9	New York	Javitz Center

See also

• Couchbase
• Apache Cassandra
• BSON, the binary JSON format that MongoDB uses for data storage and transfer
• List of server-side JavaScript implementations
• MEAN, a solutions stack using MongoDB as the database
• Server-side scripting
• Amazon DocumentDB, a proprietary database service designed for MongoDB compatibility
• Azure Cosmos DB, a proprietary database service suite designed for multi-database compatibility including MongoDB

Bibliography

• 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

External links

• Official website