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DBMS > OmniSci

OmniSci System Properties

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Our visitors often compare OmniSci with Kinetica, Brytlyt and Vertica.

Editorial information provided by DB-Engines
NameOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DescriptionA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.07
Rank#125  Overall
#62  Relational DBMS
Websitewww.omnisci.com
Technical documentationdocs.omnisci.com
DeveloperMapD Technologies, Inc.
Initial release2016
Current releaseV4
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDA
Server operating systemsLinux
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesno
SQL infoSupport of SQLyes
APIs and other access methodsJDBC
ODBC
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standard

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

GPU database Market Sales Value, Key Vendors, Brand Positioning , Insights and Key Players -Kinetica (US), OmniSci (US), SQream (US), Neo4j (US), NVIDIA (US)
23 November 2020, Cheshire Media

Semantix, Latin American Analytics Leader, Chooses OmniSci To Bring Accelerated Visualization to Its Offerings
10 November 2020, PRNewswire

GPU Database Market to Witness Astonishing Growth by 2027 | Kinetica, Omnisci, Sqream and more
26 November 2020, The Haitian-Caribbean News Network

Global GPU Database Market Share and Growth Analysis During 2020-2025 By Top Manufacturers Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt, BlazingDB Etc.
25 November 2020, Murphy's Hockey Law

GPU Database Market Analysis by Size, Share, Growth, Trends up to 2025
26 November 2020, Express Journal

provided by Google News

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