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DBMS > Kinetica

Kinetica System Properties

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Our visitors often compare Kinetica with OmniSci, Brytlyt and Snowflake.

Editorial information provided by DB-Engines
NameKinetica
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#190  Overall
#94  Relational DBMS
Websitewww.kinetica.com
Technical documentationwww.kinetica.com/­docs
DeveloperKinetica
Initial release2012
Current release6.0
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

Global GPU Database Market Expected to Reach Highest CAGR By 2026: Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt etc.
29 November 2020, The Haitian-Caribbean News Network

GPU Database Market Competitive Analysis And Forecast (2020 – 2025)|Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph
30 November 2020, The Haitian-Caribbean News Network

GPU Database Market Growing with new opportunities and developments by 2025|Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
30 November 2020, Canaan Mountain Herald

GPU Database Market 2020 Present Status, Future Growth 2027 and Top Companies Analysis- Fuzzy Logix, BlazingDB, SQream, HeteroDB, Graphistry, Brytlyt
30 November 2020, Murphy's Hockey Law

GPU Database Market Report 2020, Size, Share, SWOT Analysis and Forecast Segments, Future Growth, Recent Trends, Top Players – HeteroDB (Japan), H2O.ai (US), FASTDATA.io (US), Fuzzy Logix (US), Anaconda (US), and Graphistry (US)
30 November 2020, Murphy's Hockey Law

provided by Google News

Job opportunities

Solutions Engineer (Pre-Sales)
Kinetica DB, Chicago, IL

jobs by Indeed




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