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DBMS > Ehcache vs. JaguarDB vs. MarkLogic vs. Sphinx vs. Teradata Aster

System Properties Comparison Ehcache vs. JaguarDB vs. MarkLogic vs. Sphinx vs. Teradata Aster

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonJaguarDB  Xexclude from comparisonMarkLogic  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 optionsPerformant, highly scalable DBMS for AI and IoT applicationsOperational and transactional Enterprise NoSQL databaseOpen 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 storeKey-value store
Vector DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.55
Rank#69  Overall
#8  Key-value stores
Score0.06
Rank#372  Overall
#55  Key-value stores
#14  Vector DBMS
Score7.08
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score6.06
Rank#61  Overall
#6  Search engines
Websitewww.ehcache.orgwww.jaguardb.comwww.marklogic.comsphinxsearch.com
Technical documentationwww.ehcache.org/­documentationwww.jaguardb.com/­support.htmldocs.marklogic.comsphinxsearch.com/­docs
DeveloperTerracotta Inc, owned by Software AGDataJaguar, Inc.MarkLogic Corp.Sphinx Technologies Inc.Teradata
Initial release20092015200120012005
Current release3.10.0, March 20223.3 July 202311.0, December 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL V3.0commercial inforestricted free version is availableOpen Source infoGPL version 2, commercial licence availablecommercial
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 languageJavaC++ infothe server part. Clients available in other languagesC++C++
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesschema-free infoSchema can be enforcedyesFlexible 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 dateyesyesyesnoyes
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.nonoyesyes infoin Aster File Store
Secondary indexesnoyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL92SQL-like query language (SphinxQL)yes
APIs and other access methodsJCacheJDBC
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Proprietary protocolADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJavaC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
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 proceduresnonoyes infovia XQuery or JavaScriptnoR packages
Triggersyes infoCache Event Listenersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replicationyesnoneyes 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 infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACID infocan act as a resource manager in an XA/JTA transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes 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.yesnoyes, with Range Indexesno
User concepts infoAccess controlnorights management via user accountsRole-based access control at the document and subdocument levelsnofine grained access rights according to SQL-standard

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More resources
EhcacheJaguarDBMarkLogicSphinxTeradata Aster
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