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DBMS > Apache Jena - TDB vs. HEAVY.AI vs. SiriDB vs. Spark SQL

System Properties Comparison Apache Jena - TDB vs. HEAVY.AI vs. SiriDB vs. Spark SQL

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NameApache Jena - TDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSiriDB  Xexclude from comparisonSpark SQL  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 Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRDF storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.62
Rank#83  Overall
#3  RDF stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlgithub.com/­heavyai/­heavydb
www.heavy.ai
siridb.comspark.apache.org/­sql
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.heavy.aidocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infooriginally developed by HP LabsHEAVY.AI, Inc.CesbitApache Software Foundation
Initial release2000201620172014
Current release4.9.0, July 20235.10, January 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoMIT LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDACScala
Server operating systemsAll OS with a Java VMLinuxLinuxLinux
OS X
Windows
Data schemeyes infoRDF Schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayes
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.nonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLnoyesnoSQL-like DML and DDL statements
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBC
ODBC
Thrift
Vega
HTTP APIJDBC
ODBC
Supported programming languagesJavaAll languages supporting JDBC/ODBC/Thrift
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnonono
Triggersyes infovia event handlernonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB Transactionsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess control via Jena Securityfine grained access rights according to SQL-standardsimple rights management via user accountsno

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More resources
Apache Jena - TDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SiriDBSpark SQL
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