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DBMS > OmniSci vs. SWC-DB

System Properties Comparison OmniSci vs. SWC-DB

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Editorial information provided by DB-Engines
NameOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSWide column store
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.38
Rank#144  Overall
#70  Relational DBMS
Score0.00
Rank#354  Overall
#13  Wide column stores
Websitewww.omnisci.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.omnisci.com
DeveloperMapD Technologies, Inc.Alex Kashirin
Initial release20162020
Current release5.6, April 20210.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC++
Server operating systemsLinuxLinux
Data schemeyesschema-free
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.nono
Secondary indexesno
SQL infoSupport of SQLyesSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
Proprietary protocol
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source 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 integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
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.yesno
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 2018SWC-DB infoSuper Wide Column Database
Recent citations in the news

Global GPU Database Market Size, Analysis, and Top Vendors 2027 – Graphistry, Kinetica, SQream, OmniSci, NVIDIA, Neo4j, Blazegraph, Brytlyt, Zilliz, BlazingDB and others – Stillwater Current
24 September 2021, Stillwater Current

United States GPU Database Market Size, Growth And Analysis By Leading Keyplayers – Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox – Stillwater Current
20 September 2021, Stillwater Current

Graphics Processing Units (GPU) Database Market Share, Growth, Statistics, by Application, Production, Revenue & Forecast to 2028 – Stillwater Current
24 September 2021, Stillwater Current

OmniSci Announces Multiple Opportunities To Accelerate Geospatial, GPU Database Knowledge At GTC 2021, April 12-16
12 April 2021, PRNewswire

OmniSci Drops OmniSci Free Edition Analytics and Data Science Platform
9 March 2021, Solutions Review

provided by Google News

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