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DBMS > FoundationDB vs. Microsoft Access vs. MongoDB

System Properties Comparison FoundationDB vs. Microsoft Access vs. MongoDB

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonMicrosoft Access  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)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
Relational DBMSDocument store
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.89
Rank#197  Overall
#32  Document stores
#29  Key-value stores
#92  Relational DBMS
Score95.91
Rank#13  Overall
#9  Relational DBMS
Score402.51
Rank#5  Overall
#1  Document stores
Websitegithub.com/­apple/­foundationdbwww.microsoft.com/­en-us/­microsoft-365/­accesswww.mongodb.com
Technical documentationapple.github.io/­foundationdbdeveloper.microsoft.com/­en-us/­accesswww.mongodb.com/­docs/­manual
DeveloperFoundationDBMicrosoftMongoDB, Inc
Initial release201319922009
Current release6.2.28, November 20201902 (16.0.11328.20222), March 20197.0.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen 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 servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Data schemeschema-free infosome layers support schemasyesschema-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 typingyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
Secondary indexesnoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyes infobut not compliant to any SQL standardRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
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
Kotlin
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 onlyyes infosince Access 2010 using the ACE-engineJavaScript
Triggersnoyes infosince Access 2010 using the ACE-engineyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integrityin SQL-layer onlyyesno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infooptional, enabled by default
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 controlnono infoa simple user-level security was built in till version Access 2003Access rights for users and roles
More information provided by the system vendor
FoundationDBMicrosoft AccessMongoDB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
FoundationDBMicrosoft AccessMongoDB
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