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DBMS > Apache Jena - TDB vs. atoti vs. HEAVY.AI vs. OushuDB vs. PostgreSQL

System Properties Comparison Apache Jena - TDB vs. atoti vs. HEAVY.AI vs. OushuDB vs. PostgreSQL

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonatoti  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOushuDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRDF storeObject oriented DBMSRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlatoti.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.oushu.com/­product/­oushuDBwww.postgresql.org
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.atoti.iodocs.heavy.aiwww.oushu.com/­documentationwww.postgresql.org/­docs
DeveloperApache Software Foundation infooriginally developed by HP LabsActiveViamHEAVY.AI, Inc.OushuPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release200020161989 info1989: Postgres, 1996: PostgreSQL
Current release4.9.0, July 20235.10, January 20224.0.1, August 202016.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercial infofree versions availableOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageJavaJavaC++ and CUDAC
Server operating systemsAll OS with a Java VMLinuxLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyes infoRDF Schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)yesFull-featured ANSI SQL supportyes infostandard with numerous extensions
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaAll languages supporting JDBC/ODBC/Thrift
Python
C
C++
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesPythonnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes infovia event handlernoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningSharding infoRound robinyespartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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-standardKerberos, SSL and role based accessfine grained access rights according to SQL-standard

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More resources
Apache Jena - TDBatotiHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OushuDBPostgreSQL
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