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DBMS > Ehcache vs. Quasardb vs. TimesTen vs. VoltDB

System Properties Comparison Ehcache vs. Quasardb vs. TimesTen vs. VoltDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonQuasardb  Xexclude from comparisonTimesTen  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsDistributed, high-performance timeseries databaseIn-Memory RDBMS compatible to OracleDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.ehcache.orgquasar.aiwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.voltdb.com
Technical documentationwww.ehcache.org/­documentationdoc.quasar.ai/­masterdocs.oracle.com/­database/­timesten-18.1docs.voltdb.com
DeveloperTerracotta Inc, owned by Software AGquasardbOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005VoltDB Inc.
Initial release2009200919982010
Current release3.10.0, March 20223.14.1, January 202411 Release 2 (11.2.2.8.0)11.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, C++
Server operating systemsAll OS with a Java VMBSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X infofor development
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesyes
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 indexesnoyes infowith tagsyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes infoonly a subset of SQL 99
APIs and other access methodsJCacheHTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesJava.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Java
PL/SQL
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnonoPL/SQLJava
Triggersyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding infoconsistent hashingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes infoby using LevelDByes infoby means of logfiles and checkpointsyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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More resources
EhcacheQuasardbTimesTenVoltDB
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