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DBMS > FoundationDB vs. MongoDB

System Properties Comparison FoundationDB vs. MongoDB

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Our visitors often compare FoundationDB and MongoDB with CockroachDB, Cassandra and Redis.

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonMongoDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document store
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#165  Overall
#27  Document stores
#28  Key-value stores
#82  Relational DBMS
Score469.97
Rank#5  Overall
#1  Document stores
Websitewww.foundationdb.orgwww.mongodb.com
Technical documentationapple.github.io/­foundationdbdocs.mongodb.com/­manual
DeveloperFoundationDBMongoDB, Inc
Initial release20132009
Current release6.2.28, November 20204.4.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-free infosome layers support schemasschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateno infosome layers support typingyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
Secondary indexesnoyes
SQL infoSupport of SQLsupported in specific SQL layer onlyRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsproprietary protocol using JSON
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresin SQL-layer onlyJavaScript
Triggersnoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityin SQL-layer onlyno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infooptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlnoAccess rights for users and roles
More information provided by the system vendor
FoundationDBMongoDB
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics125 million downloads (growing at more than 30 thousand downloads per day), over...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
FoundationDBMongoDB
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Conferences and events

An Introduction to MongoDB Query API
Webinar, EMEA/APAC: April 21st, 10am GMT; AMER: April 22nd, 9am PDT, 21-22 April 2021

Recent citations in the news

Key Value Database Market May See a Big Move | ArangoDB, BoltDB, Microsoft, DataStax – SoccerNurds
22 April 2021, SoccerNurds

FoundationDB, a very interesting NoSQL database owned by Apple, is now an open-source project
19 April 2018, GeekWire

Apple Acquires Durable Database Company FoundationDB
24 March 2015, TechCrunch

Apple’s FoundationDB open sources the database layer behind CloudKit
14 January 2019, 9to5Mac

FoundationDB's Record Layer Supports Relational Database Semantics, Schema Management and Indexing
10 February 2019, InfoQ.com

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