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DBMS > Kinetica

Kinetica System Properties

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

Editorial information provided by DB-Engines
NameKinetica
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelRelational DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#201  Overall
#98  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
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 methodsRESTful HTTP API
JDBC
ODBC
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 nodesMaster-slave 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

Explore Why GPU Database Market Is Thriving Worldwide : Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB - Press Release
14 December 2018, Digital Journal

MarketsandMarkets forecasts the global GPU database market size to grow from USD 178 million in 2018 to USD 455 million by 2023, at a Compound Annual Growth Rate (CAGR) of 20.7% during 2018-2023
12 December 2018, PRNewswire

GPU Database Market Worth $455 Million by 2023 - Exclusive Report by MarketsandMarkets™
5 December 2018, PRNewswire

GPU Database Market - Global Forecast to 2023: Massive Data Generation Across BFSI, Retail, and Media and Entertainment Industries to Drive the Adoption of GPU-Accelerated Tools
12 December 2018, PRNewswire

GPU Database Market to 2023 - Focus on Applications (GRC, Threat Intelligence, CEM, Fraud Detection and Prevention, SCM) & Tools (GPU-accelerated Databases and GPU-accelerated Analytics)
18 December 2018, Financialbuzz.com

provided by Google News

Job opportunities

Senior Solutions Engineer (East Coast)
Kinetica DB, New York, NY

Senior Solutions Engineer (West Coast)
Kinetica DB, San Francisco, CA

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