DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > InterSystems IRIS vs. Kinetica vs. OmniSci

System Properties Comparison InterSystems IRIS vs. Kinetica vs. OmniSci

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameInterSystems IRIS  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  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 datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#180  Overall
#24  Document stores
#29  Key-value stores
#7  Object oriented DBMS
#92  Relational DBMS
Score0.56
Rank#195  Overall
#97  Relational DBMS
Score2.56
Rank#98  Overall
#50  Relational DBMS
Websitewww.intersystems.com/­products/­intersystems-iriswww.kinetica.comwww.omnisci.com
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperInterSystemsKineticaMapD Technologies, Inc.
Initial release201820122016
Current release2018.1.1, February 20186.0V4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++ and CUDA
Server operating systemsAIX
Linux
macOS
Windows
LinuxLinux
Data schemedepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyesAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
InterSystems IRISKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsInterSystems IRIS is a complete “cloud-first” data platform which includes a multi-model...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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

More resources
InterSystems IRISKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

Newswire & Press Release / Skyline Builds on InterSystems IRIS to Create the First Intelligent Astronomical Observation Service Platform in China - Engineering / Artificial Intelligence - InterSystems Corporation
21 June 2019, Newswire Today

InterSystems IRIS for Health™ Data Platform Now Available on All Major Cloud Providers
12 February 2019, Business Wire

InterSystems Releases Certified InterSystems IRIS™ Data Platform Connector for Microsoft Power BI
12 April 2019, Business Wire

InterSystems IRIS data platform 2019.1 further accelerates digital transformation initiatives
21 March 2019, SDTimes.com

InterSystems IRIS Data Platform Now on Docker Store
2 April 2019, Database Trends and Applications

provided by Google News

Kinetica Brings on Strategic Asia-Pacific Leadership in Response to Strong Market Demand
25 June 2019, Business Wire

Kinetica Appoints Stuart Fisher as President of Asia Pacific
28 June 2019, MarTech Advisor

GPU analytics speeds up deep learning, other data insights
12 July 2019, TechTarget

Sales Revenue in the Global GPU Database Market to Register a Stellar CAGR During 2026
17 July 2019, Financial Planning

GPU Database Market Graceful for an Touchy Development in the Near Future
15 July 2019, Market Reports

provided by Google News

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

GPU Database Market Graceful for an Touchy Development in the Near Future
15 July 2019, Market Reports

GPU analytics speeds up deep learning, other data insights
12 July 2019, TechTarget

+20% CAGR Achieved by GPU Database Market over Period 2019- 2026 with Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
25 June 2019, thewirenewsnow.com

Know in depth about Global GPU Database Market 2019-2026 Profiling key players like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai
25 June 2019, Market Trends

provided by Google News

Job opportunities

Operations Manager
InterSystems Corporation, Cambridge, MA

Quality Development Engineer
InterSystems Corporation, Cambridge, MA

UI Solutions Engineer
InterSystems Corporation, Cambridge, MA

DevOps Solutions Engineer
InterSystems Corporation, Cambridge, MA

Business Development Executive, Global Alliances
InterSystems Corporation, Cambridge, MA

Technology Architect - Data Engineering
In-Q-Tel, Arlington, VA

Senior Backend Test Engineer
OmniSci, San Francisco, CA

Engineering Manager - Backend Core Team
OmniSci, San Francisco, CA

Sales Director - Department of Defense
OmniSci, Washington, DC

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Present your product here