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DBMS > OmniSci vs. VelocityDB

System Properties Comparison OmniSci vs. VelocityDB

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Editorial information provided by DB-Engines
NameOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#105  Overall
#51  Relational DBMS
Score0.07
Rank#313  Overall
#31  Graph DBMS
#16  Object oriented DBMS
Websitewww.omnisci.comvelocitydb.com
Technical documentationdocs.omnisci.com/­latestvelocitydb.com/­UserGuide
DeveloperMapD Technologies, Inc.VelocityDB Inc
Initial release20162011
Current releaseV47.x
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC#
Server operating systemsLinuxAny that supports .NET
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLyesno
APIs and other access methodsJDBC
ODBC
Thrift
.Net
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
Server-side scripts infoStored proceduresnono
TriggersnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardBased on Windows Authentication

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

Inside OmniSci's Plans for Data Analytics Convergence
23 October 2019, Datanami

OmniSci 'Hitting Its Stride,' CEO Says
25 October 2019, Datanami

Global GPU Database Market Analysis 2019 – 2023 : Kinetica, Omnisci, Sqream, Neo4j, Nvidia
8 November 2019, The Chicago Sentinel

Quansight Tackles Support Gap in Python Data Community
28 October 2019, Datanami

Global GPU Database Market Top Key Vendors -Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB
14 November 2019, Top Industry News 24

provided by Google News

Job opportunities

Senior Database Engineer
OmniSci, San Francisco, CA

Application Support Engineer (Eastern US)
OmniSci, Remote

Senior Compiler Engineer
OmniSci, San Francisco, CA

Senior Backend Test Engineer
OmniSci, San Francisco, CA

Software Engineer - Backend Team
OmniSci, San Francisco, CA

jobs by Indeed




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