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DBMS > GridGain vs. HEAVY.AI vs. InterSystems IRIS vs. Kdb

System Properties Comparison GridGain vs. HEAVY.AI vs. InterSystems IRIS vs. Kdb

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityHigh performance Time Series DBMS
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Vector DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitewww.gridgain.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.intersystems.com/­products/­intersystems-iriskx.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.heavy.aidocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clscode.kx.com
DeveloperGridGain Systems, Inc.HEAVY.AI, Inc.InterSystemsKx Systems, a division of First Derivatives plc
Initial release2007201620182000 infokdb was released 2000, kdb+ in 2003
Current releaseGridGain 8.5.15.10, January 20222023.3, June 20233.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++ and CUDAq
Server operating systemsLinux
OS X
Solaris
Windows
LinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyesyes
Secondary indexesyesnoyesyes infotable attribute 'grouped'
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyesSQL-like query language (q)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyesuser defined functions
Triggersyes (cache interceptors and events)noyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardyesrights management via user accounts
More information provided by the system vendor
GridGainHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InterSystems IRISKdb
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
GridGainHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InterSystems IRISKdb
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