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DBMS > Kinetica vs. Microsoft SQL Server vs. OpenQM vs. SiriDB

System Properties Comparison Kinetica vs. Microsoft SQL Server vs. OpenQM vs. SiriDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsMicrosofts flagship relational DBMSQpenQM is a high-performance, self-tuning, multi-value DBMSOpen Source Time Series DBMS
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#268  Overall
#124  Relational DBMS
Score924.35
Rank#3  Overall
#3  Relational DBMS
Score0.43
Rank#276  Overall
#10  Multivalue DBMS
Score0.19
Rank#330  Overall
#29  Time Series DBMS
Websitewww.kinetica.comwww.microsoft.com/­en-us/­sql-serverwww.openqm.comsiridb.com
Technical documentationwww.kinetica.com/­docsdocs.microsoft.com/­en-US/­sql/­sql-serverwww.openqm.com/­support/­documentationdocs.siridb.com
DeveloperKineticaMicrosoftMartin PhillipsCesbit
Initial release2012198919932017
Current release7.1, August 2021SQL Server 2019, November 20193.4-12
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C
Server operating systemsLinuxLinux
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeyesyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric data
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.noyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
Basic
C
Java
Objective C
PHP
Python
C
C++
Go
Python
Server-side scripts infoStored proceduresuser defined functionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayesno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, but depending on the SQL-Server Editionyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelsimple rights management via user accounts
More information provided by the system vendor
KineticaMicrosoft SQL ServerOpenQM infoalso called QMSiriDB
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...
» more
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
KineticaMicrosoft SQL ServerOpenQM infoalso called QMSiriDB
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