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DBMS > Drizzle vs. Kinetica vs. Linter vs. OmniSci

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

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonLinter  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 datasetsRDBMS for high security requirementsA 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
Score0.57
Rank#202  Overall
#97  Relational DBMS
Score0.00
Rank#339  Overall
#137  Relational DBMS
Score1.73
Rank#119  Overall
#57  Relational DBMS
Websitewww.kinetica.comlinter.ru/­enwww.omnisci.com
Technical documentationwww.kinetica.com/­docsdocs.omnisci.com/­latest
DeveloperDrizzle project, originally started by Brian AkerKineticarelex.ru/­enMapD Technologies, Inc.
Initial release2008201219902016
Current release7.2.4, September 20126.0V4
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen 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++C and C++C++ and CUDA
Server operating systemsFreeBSD
Linux
OS X
LinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
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 statementsyesyes
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
Thrift
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQLno
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 nodesShardingShardingnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationMaster-slave replicationMaster-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 integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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

Research on GPU Database Market (impact of COVID-19) 2020-2026: Kinetica, Omnisci, Sqream, Neo4j
27 May 2020, Bandera County Courier

Global GPU Database Market Projected to Reach USD XX.XX billion by 2025- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, etc.
22 May 2020, Cole of Duty

Global GPU Database Market (COVID-19 Impact Analysis) – Latest Industry Research and Future Growth Outlook
28 May 2020, Bandera County Courier

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Research on GPU Database Market (impact of COVID-19) 2020-2026: Kinetica, Omnisci, Sqream, Neo4j
27 May 2020, Bandera County Courier

Global GPU Database Market Projected to Reach USD XX.XX billion by 2025- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, etc.
22 May 2020, Cole of Duty

GPU Database Market 2020-2026: Key Vendor Landscape By Regional Output, Demand By Countries And Future Growth| Sqream, Neo4j, Nvidia
27 May 2020, Weekly Wall

Latest News 2020: GPU Database Market by Coronavirus-COVID19 Impact Analysis With Top Manufacturers Analysis | Top Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, etc. | InForGrowth
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