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DBMS > Kinetica vs. OpenQM vs. Snowflake vs. Spark SQL

System Properties Comparison Kinetica vs. OpenQM vs. Snowflake vs. Spark SQL

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSnowflake  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsQpenQM is a high-performance, self-tuning, multi-value DBMSCloud-based data warehousing service for structured and semi-structured dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSMultivalue DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#202  Overall
#99  Relational DBMS
Score0.35
Rank#263  Overall
#11  Multivalue DBMS
Score71.03
Rank#17  Overall
#11  Relational DBMS
Score22.97
Rank#34  Overall
#20  Relational DBMS
Websitewww.kinetica.comwww.openqm.comwww.snowflake.comspark.apache.org/­sql
Technical documentationwww.kinetica.com/­docswww.openqm.com/­support/­documentationdocs.snowflake.net/­manuals/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperKineticaMartin PhillipsSnowflake Computing Inc.Apache Software Foundation
Initial release2012199320142014
Current release7.1, August 20213.4-123.2.0, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Scala
Server operating systemsLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeyesyes infowith some exceptionsyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingyesyesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
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 RAMnono
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights can be defined down to the item levelUsers with fine-grained authorization concept, user roles and pluggable authenticationno
More information provided by the system vendor
KineticaOpenQM infoalso called QMSnowflakeSpark SQL
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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More resources
KineticaOpenQM infoalso called QMSnowflakeSpark SQL
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