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DBMS > Kinetica

Kinetica System Properties

Please select another system to compare it with Kinetica.

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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.52
Rank#193  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 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

GPU Database Market Insights | Key players: Kinetica, OmniSci, SQream, Neo4j and Nvidia
20 February 2019, openPR

Global GPU Database Market 2019 – Kinetica, Omnisci, Sqream
18 February 2019, Cryptocurrency News

Uber Introduces AresDB: GPU-Powered, Open-Source, Real-Time Analytics Engine
15 February 2019, InfoQ.com

Top 10 GPU Database Market trending Major Key Player for 2019 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox and more..
8 February 2019, Bitcoin Journal

GPU Database Market 2019: Top Key Players are Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, etc.
13 February 2019, openPR

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

jobs by Indeed




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