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DBMS > GridGain vs. InterSystems IRIS vs. Prometheus vs. Splice Machine

System Properties Comparison GridGain vs. InterSystems IRIS vs. Prometheus vs. Splice Machine

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonPrometheus  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOpen-source Time Series DBMS and monitoring systemOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value store
Relational DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series 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
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.gridgain.comwww.intersystems.com/­products/­intersystems-irisprometheus.iosplicemachine.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsprometheus.io/­docssplicemachine.com/­how-it-works
DeveloperGridGain Systems, Inc.InterSystemsSplice Machine
Initial release2007201820152014
Current releaseGridGain 8.5.12023.3, June 20233.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetGoJava
Server operating systemsLinux
OS X
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesdepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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.yesyesno infoImport of XML data possible
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesnoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesnoyes infoJava
Triggersyes (cache interceptors and events)yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationyes infoby FederationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsyesnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
GridGainInterSystems IRISPrometheusSplice Machine
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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GridGainInterSystems IRISPrometheusSplice Machine
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