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DBMS > GridGain vs. Stardog

System Properties Comparison GridGain vs. Stardog

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value store
Relational DBMS
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#124  Overall
#23  Key-value stores
#62  Relational DBMS
Score1.48
Rank#144  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.gridgain.comwww.stardog.com
Technical documentationwww.gridgain.com/­docs/­latestwww.stardog.com/­docs
DeveloperGridGain Systems, Inc.Stardog-Union
Initial release20072010
Current releaseGridGain 8.5.17.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercial 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 servicenono
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
Linux
macOS
Windows
Data schemeyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyes
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.yesno infoImport/export of XML data possible
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functions and aggregates, HTTP Server extensions in Java
Triggersyes (cache interceptors and events)yes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and roles
More information provided by the system vendor
GridGainStardog
Specific characteristicsStardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
» more
Competitive advantagesStardog provides a full featureset to aid in data integration for your complex data....
» 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
GridGainStardog
Recent citations in the news

GridGain Announces Keynote Speakers and Pre-Conference Training Day for In-Memory Computing Summit 2020 Virtual Worldwide Conference
15 October 2020, GlobeNewswire

The Past and Future of In-Memory Computing
26 October 2020, Datanami

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28 October 2020, GlobeNewswire

Global In-Memory Data Grid Market 2020 Analysis by Top Key players- Oracle, IBM, Hazelcast, Scale Out Software, Tibco Software, Software AG, Gigaspaces, Gridgain Systems, Alachisoft, Pivotal, Tmaxsoft, Hitachi
29 October 2020, TechnoWeekly

In Memory Computing Market 2020 Insight Analysis, Strategic Assessment, Top Players – Software, Microsoft, GigaSpaces, GridGain Systems, Hazelcast, SAP, Oracle, TIBCO, IBM, Altibase, ScaleOut Software
29 October 2020, TechnoWeekly

provided by Google News

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