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DBMS > Ehcache vs. Microsoft Access vs. MongoDB

System Properties Comparison Ehcache vs. Microsoft Access vs. MongoDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsMicrosoft 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 modelKey-value storeRelational DBMSDocument store
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
Score7.08
Rank#51  Overall
#7  Key-value stores
Score119.86
Rank#10  Overall
#7  Relational DBMS
Score443.56
Rank#5  Overall
#1  Document stores
Websitewww.ehcache.orgproducts.office.com/­en-us/­accesswww.mongodb.com
Technical documentationwww.ehcache.org/­documentationmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxdocs.mongodb.com/­manual
DeveloperTerracotta Inc, owned by Software AGMicrosoftMongoDB, Inc
Initial release200919922009
Current release3.8.0, July 20191902 (16.0.11328.20222), March 20194.2.8, June 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial 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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  • MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
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Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-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 dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsJCacheADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSON
Supported programming languagesJavaC
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
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineJavaScript
Triggersyes infoCache Event Listenersyes infosince Access 2010 using the ACE-engineyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServernoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID infobut no files for transaction loggingMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes infobut no files for transaction loggingyes infooptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes 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
EhcacheMicrosoft AccessMongoDB
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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More resources
EhcacheMicrosoft AccessMongoDB
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