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

DBMS > GridGain vs. Kinetica vs. OmniSci

System Properties Comparison GridGain vs. Kinetica vs. OmniSci

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteGPU-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 modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.16
Rank#116  Overall
#23  Key-value stores
#56  Relational DBMS
Score0.67
Rank#196  Overall
#94  Relational DBMS
Score1.98
Rank#122  Overall
#59  Relational DBMS
Websitewww.gridgain.comwww.kinetica.comwww.omnisci.com
Technical documentationwww.gridgain.com/­docs/­latestwww.kinetica.com/­docsdocs.omnisci.com/­latest
DeveloperGridGain Systems, Inc.KineticaMapD Technologies, Inc.
Initial release200720122016
Current releaseGridGain 8.5.16.0V4
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 languageJava, C++, .NetC, C++C++ and CUDA
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
Data schemeyesyesyes
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 SQLANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersyes (cache interceptors and events)yes 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 nodesyes (replicated cache)Master-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
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 controlSecurity Hooks for custom implementationsAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

More information provided by the system vendor

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
GridGainKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

GridGain Experts Share In-Memory Computing Strategies, Provide Practical Advice at Worldwide Virtual Events
16 June 2020, GlobeNewswire

In-Memory Data Grid Market 2020 Size, Forecast 2027, Major Players – Hazelcast, Gridgain Systems, Gigaspaces, Hitachi, Pivotal, etc.
7 July 2020, Jewish Life News

GridGain Experts Share In-Memory Computing Strategies, Offer Practical Advice at Virtual Events Around the World
1 April 2020, GlobeNewswire

GridGain Shares Deep In-Memory Computing Expertise at Industry Events Around the World
14 January 2020, GlobeNewswire

GridGain Systems Named to Inaugural The Financial Times The Americas' Fastest Growing Companies 2020 List
9 April 2020, GlobeNewswire

provided by Google News

Impact of Covid-19 Global GPU Database Market (2020 To 2027) | Kinetica, Omnisci, Sqream, Neo4j, Nvidia
3 July 2020, Bandera County Courier

Global GPU Database Market 2020 Top Companies – Kinetica, Omnisci, Sqream, Neo4j, Nvidia
26 June 2020, Bandera County Courier

GPU Database Market Survey Report 2020-2026: Kinetica DB, OmniSci, Neo4j
1 July 2020, NJ MMA News

COVID – 19 Impact on GPU Database Industry 2020-2025 Global Market Analysis by Size, Share, Emerging Technologies, Trends, Top Key Players and Forecast Research
6 July 2020, Jewish Life News

Global GPU Database Market 2020 Report With Segmentation, Analysis On Trends, Growth, Opportunities and Forecast Till 2025
6 July 2020, Apsters News

provided by Google News

Impact of Covid-19 Global GPU Database Market (2020 To 2027) | Kinetica, Omnisci, Sqream, Neo4j, Nvidia
3 July 2020, Bandera County Courier

GPU Database Market Survey Report 2020-2026: Kinetica DB, OmniSci, Neo4j
1 July 2020, NJ MMA News

Global GPU Database Market 2020 Top Companies – Kinetica, Omnisci, Sqream, Neo4j, Nvidia
26 June 2020, Bandera County Courier

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

GPU Database Market Size, Opportunities And Forecast Analysis To 2026|Omnisci, Sqream, Neo4j
2 July 2020, Weekly Wall

provided by Google News

Job opportunities

Sales Engineer
GridGain, Foster City, CA

Site Reliability Engineering (SRE) Deployment Engineer
RingCentral, Inc., Denver, CO

Senior Consultant - Remote (U.S. and Canada)
GridGain, Foster City, CA

Contracts Manager
GridGain, Foster City, CA

SRE Lab Infrastructure Engineer
RingCentral, Denver, CO

Enterprise Account Executive (Remote - Seattle)
Kinetica DB, Seattle, WA

Enterprise Account Executive (Federal Government)
Kinetica DB, Arlington, VA

Enterprise Account Executive (Remote - South)
Kinetica DB, Dallas, TX

Enterprise Account Executive (Remote - Chicago)
Kinetica DB, Chicago, IL

Sr. Solutions Architect (Top Secret Clearance)
Kinetica DB, Arlington, VA

jobs by Indeed




Share this page

Featured Products

Arangodb logo

One open-source engine for graph, document & search. Simplify your deployment
stack on Prem, in the cloud - Anywhere.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Couchbase logo

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

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Neo4j logo

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

Present your product here