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DBMS > Ehcache vs. OpenSearch vs. Sphinx vs. Teradata Aster

System Properties Comparison Ehcache vs. OpenSearch vs. Sphinx vs. Teradata Aster

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonOpenSearch  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata Aster  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 optionsA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeSearch engineSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.79
Rank#66  Overall
#8  Key-value stores
Score16.31
Rank#36  Overall
#4  Search engines
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.ehcache.orggithub.com/­opensearch-project
opensearch.org
sphinxsearch.com
Technical documentationwww.ehcache.org/­documentationopensearch.org/­docs/­latestsphinxsearch.com/­docs
DeveloperTerracotta Inc, owned by Software AGAmazon Web ServicesSphinx Technologies Inc.Teradata
Initial release2009202120012005
Current release3.10.0, March 20222.5.0, January 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.noyes infoin Aster File Store
Secondary indexesnoyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (SphinxQL)yes
APIs and other access methodsJCacheJava API
RESTful HTTP/JSON API
Proprietary protocolADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
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 proceduresnoyesnoR packages
Triggersyes infoCache Event Listenersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryesnoneyes 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 methodsnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
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 approachyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standard
More information provided by the system vendor
EhcacheOpenSearchSphinxTeradata Aster
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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EhcacheOpenSearchSphinxTeradata Aster
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