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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
Score2.35
Rank#97  Overall
#50  Relational DBMS
Websitewww.omnisci.com
Technical documentationwww.omnisci.com/­docs/­latest
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 methodsThrift
JDBC
ODBC
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 nodesMaster-master 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 Insights | Key players: Kinetica, OmniSci, SQream, Neo4j and Nvidia
20 February 2019, openPR

Global GPU Database Market 2019 – Kinetica, Omnisci, Sqream
18 February 2019, Cryptocurrency News

Top 10 GPU Database Market trending Major Key Player for 2019 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox and more..
8 February 2019, Bitcoin Journal

GPU Database Market 2019: Top Key Players are Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, etc.
13 February 2019, openPR

OmniSci, formerly MapD, gets $55 million in series C funding
4 October 2018, Packt Hub

provided by Google News

Job opportunities

Community Developer Advocate
OmniSci, Remote

Community Developer Advocate - INTERN
OmniSci, San Francisco, CA

Senior Manager - Technical Marketing
OmniSci, San Francisco, CA

Engineering Manager - Backend Core Team
OmniSci, San Francisco, CA

Sales Director - Department of Defense
OmniSci, Washington, DC

jobs by Indeed




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