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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
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.42
Rank#93  Overall
#47  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
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

Explore Why GPU Database Market Is Thriving Worldwide : Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB - Press Release
14 December 2018, Digital Journal

MarketsandMarkets forecasts the global GPU database market size to grow from USD 178 million in 2018 to USD 455 million by 2023, at a Compound Annual Growth Rate (CAGR) of 20.7% during 2018-2023
12 December 2018, PRNewswire

GPU Database Market Worth $455 Million by 2023 - Exclusive Report by MarketsandMarkets™
5 December 2018, PRNewswire

Analyst Predict: GPU Database Market Size to Grow at CAGR of +20% by 2023 – Know About Growth with Technology, Analysis by Regions, Type, Application and Top Key Players - Press Release
11 December 2018, Digital Journal

GPU Database Market boosting the growth Worldwide: Market dynamics and trends, efficiencies Forecast 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
6 December 2018, openPR

provided by Google News

Job opportunities

Community Developer Advocate - INTERN
OmniSci, San Francisco, CA

Community Developer Advocate
OmniSci, Remote

Sales Director - Department of Defense
OmniSci, Washington, DC

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

Senior Manager - Technical Marketing
OmniSci, San Francisco, CA

jobs by Indeed




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