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DBMS > Apache Jena - TDB vs. HEAVY.AI vs. Sphinx

System Properties Comparison Apache Jena - TDB vs. HEAVY.AI vs. Sphinx

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRDF storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.85
Rank#86  Overall
#3  RDF stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitejena.apache.org/­documentation/­tdb/­index.htmlgithub.com/­heavyai/­heavydb
www.heavy.ai
sphinxsearch.com
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.heavy.aisphinxsearch.com/­docs
DeveloperApache Software Foundation infooriginally developed by HP LabsHEAVY.AI, Inc.Sphinx Technologies Inc.
Initial release200020162001
Current release4.9.0, July 20235.10, January 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDAC++
Server operating systemsAll OS with a Java VMLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyesyesno
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.no
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like query language (SphinxQL)
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBC
ODBC
Thrift
Vega
Proprietary protocol
Supported programming languagesJavaAll languages supporting JDBC/ODBC/Thrift
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnono
Triggersyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB Transactionsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess control via Jena Securityfine grained access rights according to SQL-standardno

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Apache Jena - TDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Sphinx
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