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DBMS > Apache Jena - TDB vs. Cubrid vs. Ehcache vs. MarkLogic vs. Sadas Engine

System Properties Comparison Apache Jena - TDB vs. Cubrid vs. Ehcache vs. MarkLogic vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonCubrid  Xexclude from comparisonEhcache  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA widely adopted Java cache with tiered storage optionsOperational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRDF storeRelational DBMSKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlcubrid.com (korean)
cubrid.org (english)
www.ehcache.orgwww.marklogic.comwww.sadasengine.com
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlcubrid.org/­manualswww.ehcache.org/­documentationdocs.marklogic.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation infooriginally developed by HP LabsCUBRID Corporation, CUBRID FoundationTerracotta Inc, owned by Software AGMarkLogic Corp.SADAS s.r.l.
Initial release20002008200920012006
Current release4.9.0, July 202311.0, January 20213.10.0, March 202211.0, December 20228.0
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercial inforestricted free version is availablecommercial infofree trial version available
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, C++, JavaJavaC++C++
Server operating systemsAll OS with a Java VMLinux
Windows
All OS with a Java VMLinux
OS X
Windows
AIX
Linux
Windows
Data schemeyes infoRDF Schemasyesschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnoyes infoSQL92yes
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
ADO.NET
JDBC
ODBC
OLE DB
JCacheJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
Proprietary protocol
Supported programming languagesJavaC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesJava Stored Proceduresnoyes infovia XQuery or JavaScriptno
Triggersyes infovia event handleryesyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoby using Terracotta ServerShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infoby using Terracotta Serveryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACIDyes infosupports JTA and can work as an XA resourceACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesyes, with Range Indexesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess control via Jena Securityfine grained access rights according to SQL-standardnoRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache Jena - TDBCubridEhcacheMarkLogicSadas Engine
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