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DBMS > Drizzle vs. Kinetica vs. MySQL vs. OmniSci

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

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonMySQL  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 datasetsWidely used open source RDBMSA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#199  Overall
#98  Relational DBMS
Score1253.68
Rank#2  Overall
#2  Relational DBMS
Score2.74
Rank#103  Overall
#52  Relational DBMS
Websitewww.kinetica.comwww.mysql.comwww.omnisci.com
Technical documentationwww.kinetica.com/­docsdev.mysql.com/­docwww.omnisci.com/­docs/­latest
DeveloperDrizzle project, originally started by Brian AkerKineticaOracle infosince 2010, originally MySQL AB, then SunMapD Technologies, Inc.
Initial release2008201219952016
Current release7.2.4, September 20126.08.0.17, July 2019V4
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen 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.
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
Implementation languageC++C, C++C and C++C++ and CUDA
Server operating systemsFreeBSD
Linux
OS X
LinuxFreeBSD
Linux
OS X
Solaris
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.noyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyes infowith proprietary extensionsyes
APIs and other access methodsJDBCRESTful HTTP API
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C++
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
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsyes infoproprietary syntaxno
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationMaster-master replication
Master-slave replication
Master-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 configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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 RAMyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
DrizzleKineticaMySQLOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Recent citations in the news

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29 July 2019, Forbes

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Global GPU Database Market Revenue Strategy 2019-2024 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
21 August 2019, Tribune City

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