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DBMS > Ehcache vs. Postgres-XL vs. Sphinx vs. Teradata Aster vs. Transwarp KunDB

System Properties Comparison Ehcache vs. Postgres-XL vs. Sphinx vs. Teradata Aster vs. Transwarp KunDB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen source search engine for searching in data from different sources, e.g. relational databasesPlatform for big data analytics on multistructured data sources and typesOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelKey-value storeRelational DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitewww.ehcache.orgwww.postgres-xl.orgsphinxsearch.comwww.transwarp.cn/­en/­product/­kundb
Technical documentationwww.ehcache.org/­documentationwww.postgres-xl.org/­documentationsphinxsearch.com/­docs
DeveloperTerracotta Inc, owned by Software AGSphinx Technologies Inc.TeradataTranswarp
Initial release20092014 infosince 2012, originally named StormDB20012005
Current release3.10.0, March 202210 R1, October 20183.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMozilla public licenseOpen Source infoGPL version 2, commercial licence availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsAll OS with a Java VMLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.noyes infoXML type, but no XML query functionalityyes infoin Aster File Store
Secondary indexesnoyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionSQL-like query language (SphinxQL)yesyes
APIs and other access methodsJCacheADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocolADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJava.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnouser defined functionsnoR packagesyes
Triggersyes infoCache Event Listenersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverhorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Servernoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate 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 resourceACID infoMVCCnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardyes

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More resources
EhcachePostgres-XLSphinxTeradata AsterTranswarp KunDB
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