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DBMS > GridGain vs. InterSystems IRIS vs. Stardog

System Properties Comparison GridGain vs. InterSystems IRIS vs. Stardog

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonStardog  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 scalabilityEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelKey-value store
Relational DBMS
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
Score2.15
Rank#116  Overall
#21  Key-value stores
#59  Relational DBMS
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.gridgain.comwww.intersystems.com/­products/­intersystems-iriswww.stardog.com
Technical documentationdocs.gridgain.com/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.stardog.com/­docs
DeveloperGridGain Systems, Inc.InterSystemsStardog-Union
Initial release200720182010
Current releaseGridGain 8.5.12018.1.1, February 20186.2.3, July 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial 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 languageJava, C++, .NetJava
Server operating systemsLinux
OS X
Solaris
Windows
AIX
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.yesyesno infoImport/export of XML data possible
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesSPARQL is used as query language
APIs and other access methodsHDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful 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++
Java
PHP
Python
Ruby
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes (cache interceptors and events)yesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Master-slave replicationMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsyesAccess rights for users and roles
More information provided by the system vendor
GridGainInterSystems 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
GridGainInterSystems IRISStardog
Recent citations in the news

GridGain Demonstrates Commitment to In-Memory Computing Thought Leadership, Sharing Knowledge and Insights at Multiple Industry Events
30 July 2019, GlobeNewswire

GridGain Offers New Consulting Services Packages for Apache Ignite and GridGain Community Edition
1 August 2019, Yahoo Finance

GridGain Announces New Data Lake Accelerator
22 August 2019, RTInsights

GridGain In-Memory Computing Platform Continues Strong Momentum in First Half of 2019, Highlighted by a Doubling of Subscription Bookings
23 July 2019, GlobeNewswire

GridGain Data Lake Accelerator Powers Real-Time Analytics Across Combined Data Lake and Operational Data
12 June 2019, GlobeNewswire

provided by Google News

InterSystems IRIS Data Platform™ 2019.2 Introduces API Management Capabilities
2 August 2019, Yahoo Finance

InterSystems introduces API management capabilities in platform update
8 August 2019, KMWorld Magazine

Rhodes Group optimiert Prozess der mobilen Entnahme und Kennzeichnung von Laborproben / Die auf InterSystems IRIS for Health entwickelte eMyLabCollect-Anwendung vereinfacht und automatisiert ... | 30.07.19
30 July 2019, finanzen.at

InterSystems IRIS data platform 2019.1 further accelerates digital transformation initiatives
21 March 2019, SDTimes.com

InterSystems IRIS for Health™ Data Platform Now Available on All Major Cloud Providers
12 February 2019, Business Wire

provided by Google News

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