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DBMS > Kinetica vs. PostgreSQL vs. RocksDB vs. TimescaleDB vs. Transwarp KunDB

System Properties Comparison Kinetica vs. PostgreSQL vs. RocksDB vs. TimescaleDB vs. Transwarp KunDB

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRocksDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLEmbeddable persistent key-value store optimized for fast storage (flash and RAM)A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.14
Rank#341  Overall
#149  Relational DBMS
Websitewww.kinetica.comwww.postgresql.orgrocksdb.orgwww.timescale.comwww.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.kinetica.comwww.postgresql.org/­docsgithub.com/­facebook/­rocksdb/­wikidocs.timescale.com
DeveloperKineticaPostgreSQL Global Development Group infowww.postgresql.org/­developerFacebook, Inc.TimescaleTranswarp
Initial release20121989 info1989: Postgres, 1996: PostgreSQL20132017
Current release7.1, August 202116.3, May 20249.2.1, May 20242.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoBSDOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CC++C
Server operating systemsLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.noyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infostandard with numerous extensionsnoyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashhorizontal partitioningyes, across time and space (hash partitioning) attributeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACIDACID
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.yes infoGPU vRAM or System RAMnoyesno
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardyes

More information provided by the system vendor

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More resources
KineticaPostgreSQLRocksDBTimescaleDBTranswarp KunDB
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