DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Drizzle vs. Kinetica vs. mSQL vs. OmniSci

System Properties Comparison Drizzle vs. Kinetica vs. mSQL vs. OmniSci

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GPU-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 DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#199  Overall
#98  Relational DBMS
Score1.55
Rank#135  Overall
#68  Relational DBMS
Score2.74
Rank#103  Overall
#52  Relational DBMS
Websitewww.kinetica.comwww.hughes.com.au/­products/­msqlwww.omnisci.com
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperDrizzle project, originally started by Brian AkerKineticaHughes TechnologiesMapD Technologies, Inc.
Initial release2008201219942016
Current release7.2.4, September 20126.04.2, April 2019V4
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercial infofree licenses can be providedOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++CC++ and CUDA
Server operating systemsFreeBSD
Linux
OS X
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsJDBCRESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationnoneMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesyesyes
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 controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelnofine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DrizzleKineticamSQL infoMini SQLOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Recent citations in the news

Smart Vending Machines Deliver On Data
29 July 2019, Forbes

GPU Database Market SWOT Analysis including key players Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb
26 July 2019, PortNews24

GPU Database Market SWOT Analysis by Key Futuristic Trends from 2019-2027 | Brytlyt, Fuzzy Logix, Jedox AG, Kinetica DB, Neo4j, OmniSci
8 August 2019, Rise Media

GPU Database Market Size, Status and Forecast 2019-2025 | Omnisci, Sqream, Kinetica
24 July 2019, Market Analyst

Kinetica Delivers GPU-Accelerated Analytics Engine to SoftBank
1 November 2018, Business Wire

provided by Google News

Importing XML, CSV, Text, and MS Excel Files into MySQL
12 May 2014, Database Journal

PHP at 20: From pet project to powerhouse
11 June 2015, InfoWorld

TransWare Offers New Translation Tools and Services for ARIS® 7.x, 9.x Full translation to Microsoft Visio® 2010, 2013 and 2016 and Many Other Modeling Tools
12 October 2015, PR Web

A Memorial to the Grandfather of Headphone Enthusiasm
15 March 2016, InnerFidelity

Writing a Web Service in Perl
13 July 2018, PCQuest

provided by Google News

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

GPU Database Market Size, Status and Forecast 2019-2025 | Omnisci, Sqream, Kinetica
24 July 2019, Market Analyst

GPU Database Market SWOT Analysis including key players Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb
26 July 2019, PortNews24

GPU Database Market SWOT Analysis by Key Futuristic Trends from 2019-2027 | Brytlyt, Fuzzy Logix, Jedox AG, Kinetica DB, Neo4j, OmniSci
8 August 2019, Rise Media

Global GPU Database Market is estimated to Grow at the Highest Growth Rate till 2023 | Key players: Kinetica, Omnisci, Sqream, etc.
30 July 2019, The Market Plan

provided by Google News

Job opportunities

Technology Architect - Data Engineering
In-Q-Tel, Arlington, VA

Senior Backend Test Engineer
OmniSci, San Francisco, CA

Sales Director - Department of Defense
OmniSci, Washington, DC

jobs by Indeed




Share this page

Featured Products

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Present your product here