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DBMS > Ehcache vs. Riak KV vs. Sadas Engine

System Properties Comparison Ehcache vs. Riak KV vs. Sadas Engine

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.20
Rank#56  Overall
#7  Key-value stores
Score5.10
Rank#68  Overall
#9  Key-value stores
Score0.00
Rank#354  Overall
#143  Relational DBMS
Websitewww.ehcache.orgriak.com/­products/­riak-kvwww.sadasengine.com
Technical documentationwww.ehcache.org/­documentationwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperTerracotta Inc, owned by Software AGBasho TechnologiesSADAS s.r.l.
Initial release200920092006
Current release3.8.1, September 20192.1.0, April 20158.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2, commercial enterprise editioncommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++
Server operating systemsAll OS with a Java VMLinux
OS X
AIX
Linux
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nonono
Secondary indexesnorestrictedyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsJCacheHTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
Supported programming languagesJavaC 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
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoJavaScript and Erlangno
Triggersyes infoCache Event Listenersyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding infono "single point of failure"horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono 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 resourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
EhcacheRiak KVSadas Engine
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