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DBMS > Ehcache vs. IBM Cloudant vs. MongoDB

System Properties Comparison Ehcache vs. IBM Cloudant vs. MongoDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsDatabase as a Service offering based on Apache CouchDBOne 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 storeDocument storeDocument 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.52
Rank#65  Overall
#8  Key-value stores
Score3.33
Rank#95  Overall
#17  Document stores
Score472.98
Rank#5  Overall
#1  Document stores
Websitewww.ehcache.orgwww.ibm.com/­cloud/­cloudantwww.mongodb.com
Technical documentationwww.ehcache.org/­documentationcloud.ibm.com/­docs/­Cloudantdocs.mongodb.com/­manual
DeveloperTerracotta Inc, owned by Software AGIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MongoDB, Inc
Initial release200920102009
Current release3.9.6, September 20215.0.9, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen 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 servicenoyesno infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-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 dateyesnoyes 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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsJCacheRESTful HTTP/JSON APIproprietary protocol using JSON
Supported programming languagesJavaC#
Java
JavaScript
Objective-C
PHP
Ruby
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 proceduresnoView functions (Map-Reduce) in JavaScriptJavaScript
Triggersyes infoCache Event Listenersyesyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding 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 nodesyes infoby using Terracotta ServerMulti-source replication
Source-replica replication
Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono 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 resourceno infoatomic operations within a document possibleMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess rights for users and roles
More information provided by the system vendor
EhcacheIBM CloudantMongoDB
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
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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 metrics200+ million downloads, over 1.5M Atlas database clusters under management handling...
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Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
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