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DBMS > Hive vs. IBM Db2 warehouse vs. Kinetica vs. PostgreSQL vs. TigerGraph

System Properties Comparison Hive vs. IBM Db2 warehouse vs. Kinetica vs. PostgreSQL vs. TigerGraph

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonKinetica  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTigerGraph  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopCloud-based data warehousing serviceFully vectorized database across both GPUs and CPUsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Graph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document 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
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score1.61
Rank#156  Overall
#71  Relational DBMS
Score0.74
Rank#229  Overall
#105  Relational DBMS
Score634.91
Rank#4  Overall
#4  Relational DBMS
Score1.92
Rank#143  Overall
#13  Graph DBMS
Websitehive.apache.orgwww.ibm.com/­products/­db2/­warehousewww.kinetica.comwww.postgresql.orgwww.tigergraph.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.kinetica.comwww.postgresql.org/­docsdocs.tigergraph.com
DeveloperApache Software Foundation infoinitially developed by FacebookIBMKineticaPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2012201420121989 info1989: Postgres, 1996: PostgreSQL2017
Current release3.1.3, April 20227.1, August 202116.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageJavaC, C++CC++
Server operating systemsAll OS with a Java VMhostedLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeyesyesyesyesyes
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.no infoImport/export of XML data possiblenoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like DML and DDL statementsyes infostandard with numerous extensionsSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePL/SQL, SQL PLuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users and roles on table levelfine grained access rights according to SQL-standardRole-based access control

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More resources
HiveIBM Db2 warehouse infoformerly named IBM dashDBKineticaPostgreSQLTigerGraph
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