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DBMS > Ehcache vs. H2 vs. IBM Cloudant vs. KeyDB vs. Linter

System Properties Comparison Ehcache vs. H2 vs. IBM Cloudant vs. KeyDB vs. Linter

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonH2  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKeyDB  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Database as a Service offering based on Apache CouchDBAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsRDBMS for high security requirements
Primary database modelKey-value storeRelational DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Websitewww.ehcache.orgwww.h2database.comwww.ibm.com/­products/­cloudantgithub.com/­Snapchat/­KeyDB
keydb.dev
linter.ru
Technical documentationwww.ehcache.org/­documentationwww.h2database.com/­html/­main.htmlcloud.ibm.com/­docs/­Cloudantdocs.keydb.dev
DeveloperTerracotta Inc, owned by Software AGThomas MuellerIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014EQ Alpha Technology Ltd.relex.ru
Initial release20092005201020191990
Current release3.10.0, March 20222.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaErlangC++C and C++
Server operating systemsAll OS with a Java VMAll OS with a Java VMhostedLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nonononono
Secondary indexesnoyesyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsJCacheJDBC
ODBC
RESTful HTTP/JSON APIProprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesJavaJavaC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsView functions (Map-Reduce) in JavaScriptLuayes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyes infoCache Event Listenersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDno infoatomic operations within a document possibleOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users can be defined per databasesimple password-based access control and ACLfine grained access rights according to SQL-standard

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More resources
EhcacheH2IBM CloudantKeyDBLinter
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