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DBMS > OmniSci

OmniSci System Properties

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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
Score1.76
Rank#127  Overall
#65  Relational DBMS
Websitewww.omnisci.com
Technical documentationdocs.omnisci.com
DeveloperMapD Technologies, Inc.
Initial release2016
Current release5.5, January 2021
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 2021-2027: Business Development Strategies by Top Industry Players | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb
27 February 2021, NY Market Reports

GPU Database Market- Business Overview and Forecast 2021-2026 by Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, and more | Affluence – The Bisouv Network
26 February 2021, The Bisouv Network

GPU Database Market is Booming Worldwide by Top Emerging Key Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Neo4j, Nvidia, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda
27 February 2021, NY Market Reports

GPU Database Market Research Report 2026 : Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda
26 February 2021, South Florida Theater Review

2021: Top 5 Disruptive Trends in the GPU Database Market by Top Companies : Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda.
25 February 2021, NeighborWebSJ

provided by Google News

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