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DBMS > Microsoft Access vs. MongoDB vs. Prometheus

System Properties Comparison Microsoft Access vs. MongoDB vs. Prometheus

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Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonMongoDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionMicrosoft 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 infrastructureOpen-source TimeSeries DBMS and monitoring system
Primary database modelRelational DBMSDocument storeTime Series DBMS
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score131.18
Rank#9  Overall
#6  Relational DBMS
Score412.09
Rank#5  Overall
#1  Document stores
Score3.60
Rank#76  Overall
#3  Time Series DBMS
Websiteproducts.office.com/­en-us/­accesswww.mongodb.comprometheus.io
Technical documentationmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxdocs.mongodb.com/­manualprometheus.io/­docs
DeveloperMicrosoftMongoDB, Inc
Initial release199220092015
Current release1902 (16.0.11328.20222), March 20194.2, August 2019
License infoCommercial or Open Sourcecommercial 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.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageC++C++Go
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesschema-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.yes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialNumeric data only
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infoImport of XML data possible
Secondary indexesyesyesno
SQL infoSupport of SQLyes infobut not compliant to any SQL standardRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsDAO
OLE DB
ADO.NET
ODBC
proprietary protocol using JSONRESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineJavaScriptno
Triggersyes infosince Access 2010 using the ACE-engineyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infopartitioned by hashed, ranged, or zoned sharding keysSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-slave replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
none
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyes infooptionalyes
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 3.2no
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Access rights for users and rolesno
More information provided by the system vendor
Microsoft AccessMongoDBPrometheus
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» 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 metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» 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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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Microsoft AccessMongoDBPrometheus
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