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DBMS > InterSystems IRIS vs. Kinetica

System Properties Comparison InterSystems IRIS vs. Kinetica

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Editorial information provided by DB-Engines
NameInterSystems IRIS  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.70
Rank#134  Overall
#22  Document stores
#25  Key-value stores
#3  Object oriented DBMS
#65  Relational DBMS
Score0.73
Rank#206  Overall
#101  Relational DBMS
Websitewww.intersystems.com/­products/­intersystems-iriswww.kinetica.com
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.kinetica.com/­docs
DeveloperInterSystemsKinetica
Initial release20182012
Current release2020.2, July 20206.0
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++
Server operating systemsAIX
Linux
macOS
Windows
Linux
Data schemedepending on used data modelyes
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functions
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlyesAccess rights for users and roles on table level
More information provided by the system vendor
InterSystems IRISKinetica
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
InterSystems IRISKinetica
Recent citations in the news

InterSystems Recognized as a Leader by Independent Research Firm in Multimodel Data Platforms Evaluation
15 July 2021, Business Wire

InterSystems named leader in multimodel data platforms
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Covid-19 Impact on GPU Database Market Size 2021 by Share And Forecast 2028 | Key market players, Major competitors identified in this market include Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai
13 July 2021, The Manomet Current

GPU Database Market 2021 by Manufacturers, Regions, Type and Application, Forecast to 2026 | Blazegraph (SYSTAP, LLC) BlazingDB, Inc. Brytlyt Fuzzy Logix, Inc Jedox AG Kinetica DB Inc. Neo4j, Inc. OmniSci, Inc. SQream Technologies ZILLIZ – Neighbor
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