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DBMS > Citus vs. InterSystems IRIS vs. Splice Machine vs. VelocityDB

System Properties Comparison Citus vs. InterSystems IRIS vs. Splice Machine vs. VelocityDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSplice Machine  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score2.98
Rank#91  Overall
#17  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
#21  Object oriented DBMS
Websitewww.citusdata.comwww.intersystems.com/­products/­intersystems-irissplicemachine.comvelocitydb.com
Technical documentationdocs.citusdata.comdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clssplicemachine.com/­how-it-worksvelocitydb.com/­UserGuide
DeveloperInterSystemsSplice MachineVelocityDB Inc
Initial release2010201820142011
Current release8.1, December 20182023.3, June 20233.1, March 20217.x
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC#
Server operating systemsLinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Solaris
Windows
Any that supports .NET
Data schemeyesdepending on used data modelyesyes
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.yes infospecific XML type available, but no XML query functionalityyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
.Net
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyes infoJavano
TriggersyesyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users, groups and roles according to SQL-standardBased on Windows Authentication
More information provided by the system vendor
CitusInterSystems IRISSplice MachineVelocityDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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CitusInterSystems IRISSplice MachineVelocityDB
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Microsoft acquires Citus Data, re-affirming its commitment to Open Source and accelerating Azure PostgreSQL performance and scale
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