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DBMS > Graph Engine vs. InterSystems IRIS vs. Stardog

System Properties Comparison Graph Engine vs. InterSystems IRIS vs. Stardog

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelGraph DBMS
Key-value store
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#201  Overall
#15  Graph DBMS
#33  Key-value stores
Score0.92
Rank#161  Overall
#22  Document stores
#28  Key-value stores
#6  Object oriented DBMS
#81  Relational DBMS
Score0.89
Rank#165  Overall
#12  Graph DBMS
#6  RDF stores
Websitewww.graphengine.iowww.intersystems.com/­products/­intersystems-iriswww.stardog.com
Technical documentationwww.graphengine.io/­docs/­manualdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.stardog.com/­docs
DeveloperMicrosoftInterSystemsStardog-Union
Initial release201020182010
Current release2018.1.1, February 20186.2.3, July 2019
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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 language.NET and CJava
Server operating systems.NETAIX
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeyesdepending on used data modelschema-free and OWL/RDFS-schema support
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.noyesno infoImport/export of XML data possible
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesSPARQL is used as query language
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesAccess rights for users and roles
More information provided by the system vendor
Graph Engine infoformer name: TrinityInterSystems IRISStardog
Specific characteristicsInterSystems IRIS is a complete “cloud-first” data platform which includes a multi-model...
» more
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Competitive advantagesStardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
Typical application scenariosStardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersBosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsStardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsA fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

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More resources
Graph Engine infoformer name: TrinityInterSystems IRISStardog
Recent citations in the news

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12 February 2019, Business Wire

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