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DBMS > GridGain vs. Kinetica vs. OmniSci

System Properties Comparison GridGain vs. Kinetica vs. OmniSci

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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
Score1.62
Rank#118  Overall
#20  Key-value stores
#61  Relational DBMS
Score0.58
Rank#192  Overall
#96  Relational DBMS
Score2.55
Rank#92  Overall
#47  Relational DBMS
Websitewww.gridgain.comwww.kinetica.comwww.omnisci.com
Technical documentationdocs.gridgain.com/­docswww.kinetica.com/­docswww.omnisci.com/­docs/­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
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
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

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

GridGain Data Lake Accelerator Powers Real-Time Analytics Across Combined Data Lake and Operational Data
12 June 2019, Yahoo Finance

GridGain: Product Overview and Analysis - eWEEK
5 June 2019, eWeek

GridGain In-Memory Computing Experts Share Knowledge and Insights at Industry Events
29 May 2019, GlobeNewswire

GridGain Joins Cloud Native Computing Foundation
21 May 2019, GlobeNewswire

In-Memory Computing Summit Europe 2019 Explores How Companies Can Address Their Digital Transformation Challenges
6 June 2019, Yahoo Finance

provided by Google News

Kinetica Appoints Elizabeth McGlauflin as Chief Customer Success Officer
6 June 2019, MarTech Advisor

Kinetica Hires New Chief Customer Success Officer in Response to Triple Digit Growth Across Global Install-Base and Adoption by Major Global 2000 Brands
5 June 2019, Business Wire

GPU database Market to Witness a Pronounce Growth during 2017-2026
15 June 2019, Market Research Gazette

Global GPU Database Market to Witness Heightened Revenue Growth During the Forecast Period 2026
12 June 2019, B2B News Updates

Kinetica Delivers GPU-Accelerated Analytics Engine to SoftBank
1 November 2018, Business Wire

provided by Google News

OmniSci enters EMEA market to push high-speed cloud analytics
31 May 2019, Data Economy

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

GPU database Market to Witness a Pronounce Growth during 2017-2026
15 June 2019, Market Research Gazette

Salesforce buys big data firm Tableau for $15.7bn in its biggest ever acquisition
10 June 2019, Data Economy

Global GPU Database Market to Witness Heightened Revenue Growth During the Forecast Period 2026
12 June 2019, B2B News Updates

provided by Google News

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