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DBMS > Kinetica vs. OmniSci

System Properties Comparison Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#190  Overall
#95  Relational DBMS
Score1.24
Rank#151  Overall
#72  Relational DBMS
Websitewww.kinetica.comwww.omnisci.com
Technical documentationwww.kinetica.com/­docsdocs.omnisci.com
DeveloperKineticaMapD Technologies, Inc.
Initial release20122016
Current release6.05.5, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition available
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, C++C++ and CUDA
Server operating systemsLinuxLinux
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 indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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

GPU Database Market Research & Clinical Advancements by 2028 | Kinetica, Blazegraph, Neo4j – KSU | The Sentinel Newspaper
8 May 2021, KSU | The Sentinel Newspaper

GPU Database Market Trends to Look Out For in 2021 – Kinetica, OmniSci, SQream, Neo4j – Clark County Blog
10 May 2021, Clark County Blog

Global GPU Database Market 2025: Top Key Players Graphistry, Kinetica, SQream, OmniSci, NVIDIA, Neo4j, Blazegraph and others – The Courier
5 May 2021, The Courier

GPU Database Market Research Studies Opportunity Analysis and Global Forecast to 2027: Graphistry,BlazingDB,Kinetica,SQream,Zilliz,OmniSci – Clark County Blog
10 May 2021, Clark County Blog

GPU Database Market COVID 19 Impacted In-Depth Analysis including key players Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb – Clark County Blog
6 May 2021, Clark County Blog

provided by Google News

GPU Database Market Research & Clinical Advancements by 2028 | Kinetica, Blazegraph, Neo4j – KSU | The Sentinel Newspaper
8 May 2021, KSU | The Sentinel Newspaper

Gpu Database: Market 2021 Booming Across the Globe by Share, Growth Size, Key Segments and Forecast to 2026 | Fuzzy Logix, Anaconda, OmniSci, Zilliz – BeverageManager .Net
10 May 2021, BeverageManager .Net

Global GPU Database Market 2025: Top Key Players Graphistry, Kinetica, SQream, OmniSci, NVIDIA, Neo4j, Blazegraph and others – The Courier
5 May 2021, The Courier

GPU Database Market Research Studies Opportunity Analysis and Global Forecast to 2027: Graphistry,BlazingDB,Kinetica,SQream,Zilliz,OmniSci – Clark County Blog
10 May 2021, Clark County Blog

GPU Database Market COVID 19 Impacted In-Depth Analysis including key players Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb – Clark County Blog
6 May 2021, Clark County Blog

provided by Google News

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