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DBMS > Apache Impala vs. Apache Jena - TDB vs. BigObject vs. HEAVY.AI vs. PostgreSQL

System Properties Comparison Apache Impala vs. Apache Jena - TDB vs. BigObject vs. HEAVY.AI vs. PostgreSQL

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonBigObject  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkAnalytic DBMS for real-time computations and queriesA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRDF storeRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument storeSpatial 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
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websiteimpala.apache.orgjena.apache.org/­documentation/­tdb/­index.htmlbigobject.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.postgresql.org
Technical documentationimpala.apache.org/­impala-docs.htmljena.apache.org/­documentation/­tdb/­index.htmldocs.bigobject.iodocs.heavy.aiwww.postgresql.org/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infooriginally developed by HP LabsBigObject, Inc.HEAVY.AI, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20132000201520161989 info1989: Postgres, 1996: PostgreSQL
Current release4.1.0, June 20224.9.0, July 20235.10, January 202216.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache License, Version 2.0commercial infofree community edition availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++ and CUDAC
Server operating systemsLinuxAll OS with a Java VMLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyes infoRDF Schemasyesyesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like DML and DDL statementsyesyes infostandard with numerous extensions
APIs and other access methodsJDBC
ODBC
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
fluentd
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBCJavaAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesLuanouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infovia event handlernonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoRound robinpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenoneMulti-source replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoTDB TransactionsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess control via Jena Securitynofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache ImpalaApache Jena - TDBBigObjectHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022PostgreSQL
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