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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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#212  Overall
#103  Relational DBMS
Websitewww.kinetica.com
Technical documentationwww.kinetica.com/­docs
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
More information provided by the system vendor
Kinetica
Specific characteristics

Native and fully vectorized database across both GPUs and CPUs, with memory first architecture providing unmatched speed and scale in the cloud.  

Competitive advantages

Best in class geospatial and temporal analytics.  Lockless architecture provides real-time ingest and query.  Efficiencies of vectorization yield 100X+ performance improvements while simultaneously reducing amount of required hardware.  

Typical application scenarios

Any application requiring (1) real time insights, (2) time series analysis (3) geospatial analysis, or (4) combination of all of the above.  

Key customers

Citibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos, top global retailer, top auto manufacturer, and others

Market metrics

The largest IoT deployment in the world, NORAD, runs on Kinetica.

Licensing and pricing models

Always Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable Commercial License.  

Related products and services

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

More resources
Kinetica
Recent citations in the news

Graphics Processing Units (GPU) Database Market Analysis by Size, Business Strategies, Share, Growth, Trends, Revenue, Competitive Landscape and Developments Forecast by 2028
23 May 2022, Digital Journal

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

Kinetica Database Now on Azure
14 October 2021, insideHPC

GPU Database Market 2022 – New Technology Innovation, Global Sales Analysis, Future Expansion, Business Overview, Opportunities Analysis & Demand Forecast to 2025
28 April 2022, Digital Journal

The insideBIGDATA IMPACT 50 List for Q2 2022
27 April 2022, insideBIGDATA

provided by Google News

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