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DBMS > Kinetica

Kinetica System Properties

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Editorial information provided by DB-Engines
NameKinetica
DescriptionFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#229  Overall
#105  Relational DBMS
Websitewww.kinetica.com
Technical documentationdocs.kinetica.com
DeveloperKinetica
Initial release2012
Current release7.1, August 2021
License infoCommercial or Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++
Server operating systemsLinux
Data schemeyes
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.no
Secondary indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions
Triggersyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
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 level

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More resources
Kinetica
Recent citations in the news

Kinetica Unveils First SQL-GPT for Telecom, Transforming Natural Language into SQL Fine-Tuned for the Telco Industry
7 December 2023, GlobeNewswire

Transforming spatiotemporal data analysis with GPUs and generative AI
30 October 2023, InfoWorld

ChatGPT Gives Kinetica a Natural Language Interface for Speedy Analytics Database
2 May 2023, Datanami

Kinetica scores $50 million Series A for super-charged in-memory database solution
29 June 2017, TechCrunch

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

provided by Google News



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