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DBMS > Kinetica vs. OpenQM

System Properties Comparison Kinetica vs. OpenQM

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Our visitors often compare Kinetica and OpenQM with Microsoft SQL Server, TimescaleDB and JaguarDB.

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelRelational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#221  Overall
#105  Relational DBMS
Score0.20
Rank#286  Overall
#10  Multivalue DBMS
Websitewww.kinetica.comwww.openqm.com
Technical documentationwww.kinetica.com/­docswww.openqm.com/­support/­documentation
DeveloperKineticaMartin Phillips
Initial release20121993
Current release7.1, August 20213.4-12
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license 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++
Server operating systemsLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesyes infowith some exceptions
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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
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 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.yes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights can be defined down to the item level
More information provided by the system vendor
KineticaOpenQM infoalso called QM
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
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Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
KineticaOpenQM infoalso called QM
Recent citations in the news

Bank Replaces Hundreds of Spark Streaming Nodes with Kinetica
6 January 2022, Datanami

GPU Database Market Growth, Trends, Forecast and COVID-19 Impacts (2022 - 2027)
22 June 2022, NewsOrigins

Global GPU Database Market 2022 – Key Players, Industry Demand, Overview and Supply Chain Analysis, Forecast 2028 – Designer Women
22 June 2022, Designer Women

Review: Kinetica analyzes billions of rows in real time
29 April 2019, InfoWorld

Preventing the Next 9/11 Goal of NORAD's New Streaming Data Warehouse
30 August 2021, Datanami

provided by Google News

OpenQM
9 January 2019, International Spectrum Magazine

provided by Google News



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