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DBMS > Kinetica vs. mSQL vs. OmniSci

System Properties Comparison Kinetica vs. mSQL vs. OmniSci

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsmSQL (Mini SQL) is a simple and lightweight RDBMSA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.58
Rank#192  Overall
#96  Relational DBMS
Score1.42
Rank#125  Overall
#65  Relational DBMS
Score2.55
Rank#92  Overall
#47  Relational DBMS
Websitewww.kinetica.comwww.hughes.com.au/­products/­msqlwww.omnisci.com
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperKineticaHughes TechnologiesMapD Technologies, Inc.
Initial release201219942016
Current release6.04.0, January 2017V4
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++CC++ and CUDA
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnoneMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesnoyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlAccess rights for users and roles on table levelnofine grained access rights according to SQL-standard

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More resources
KineticamSQL infoMini SQLOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Job opportunities

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In-Q-Tel, Arlington, VA

Engineering Manager - Backend Core Team
OmniSci, San Francisco, CA

Support Engineer - (NYC or Washington DC)
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