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DBMS > Ehcache vs. Kinetica vs. Riak KV vs. TimesTen

System Properties Comparison Ehcache vs. Kinetica vs. Riak KV vs. TimesTen

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonKinetica  Xexclude from comparisonRiak KV  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsFully vectorized database across both GPUs and CPUsDistributed, fault tolerant key-value storeAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelKey-value storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.79
Rank#66  Overall
#8  Key-value stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.ehcache.orgwww.kinetica.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.ehcache.org/­documentationdocs.kinetica.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperTerracotta Inc, owned by Software AGKineticaOpenSource, formerly Basho TechnologiesOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2009201220091998
Current release3.10.0, March 20227.1, August 20213.2.0, December 2022Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Erlang
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesnoyesrestrictedyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsJCacheJDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnouser defined functionsErlangPL/SQL
Triggersyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
EhcacheKineticaRiak KVTimesTen
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