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DBMS > Kinetica vs. MySQL vs. PostgreSQL vs. Quasardb vs. Realm

System Properties Comparison Kinetica vs. MySQL vs. PostgreSQL vs. Quasardb vs. Realm

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMySQL  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQuasardb  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsWidely used open source RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial 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
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.kinetica.comwww.mysql.comwww.postgresql.orgquasar.airealm.io
Technical documentationdocs.kinetica.comdev.mysql.com/­docwww.postgresql.org/­docsdoc.quasar.ai/­masterrealm.io/­docs
DeveloperKineticaOracle infosince 2010, originally MySQL AB, then SunPostgreSQL Global Development Group infowww.postgresql.org/­developerquasardbRealm, acquired by MongoDB in May 2019
Initial release201219951989 info1989: Postgres, 1996: PostgreSQL20092014
Current release7.1, August 20218.4.0, April 202416.3, May 20243.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC, C++C and C++CC++
Server operating systemsLinuxFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.noyesyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesyes infowith tagsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsyes infostandard with numerous extensionsSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functionsyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono inforuns within the applications so server-side scripts are unnecessary
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricpartitioning by range, list and (since PostgreSQL 11) by hashSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage engineyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engineACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesnoyes infoTransient modeyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and roles on table levelUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyes

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KineticaMySQLPostgreSQLQuasardbRealm
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