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DBMS > Citus vs. Dgraph vs. InterSystems IRIS vs. OmniSci

System Properties Comparison Citus vs. Dgraph vs. InterSystems IRIS vs. OmniSci

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDgraph  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDistributed and scalable native Graph DBMSA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSGraph DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#139  Overall
#68  Relational DBMS
Score1.74
Rank#129  Overall
#11  Graph DBMS
Score1.72
Rank#131  Overall
#21  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#65  Relational DBMS
Score1.23
Rank#157  Overall
#76  Relational DBMS
Websitewww.citusdata.comdgraph.iowww.intersystems.com/­products/­intersystems-iriswww.omnisci.com
Technical documentationdocs.citusdata.comdgraph.io/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.omnisci.com
DeveloperDgraph Labs, Inc.InterSystemsMapD Technologies, Inc.
Initial release2010201620182016
Current release8.1, December 20182021.1, June 20215.6, April 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; enterprise edition available
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 languageCGoC++ and CUDA
Server operating systemsLinuxLinux
OS X
Windows
AIX
Linux
macOS
Windows
Linux
Data schemeyesschema-freedepending 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.yes infospecific XML type available, but no XML query functionalitynoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSynchronous replication via RaftSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
CitusDgraphInterSystems IRISOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
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CitusDgraphInterSystems IRISOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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