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DBMS > GraphDB vs. GridGain vs. TigerGraph vs. YDB

System Properties Comparison GraphDB vs. GridGain vs. TigerGraph vs. YDB

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonGridGain  Xexclude from comparisonTigerGraph  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.GridGain is an in-memory computing platform, built on Apache IgniteA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Graph DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.ontotext.comwww.gridgain.comwww.tigergraph.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationgraphdb.ontotext.com/­documentationwww.gridgain.com/­docs/­index.htmldocs.tigergraph.comydb.tech/­en/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextGridGain Systems, Inc.Yandex
Initial release2000200720172019
Current release10.4, October 2023GridGain 8.5.1
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialcommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesyesFlexible Schema (defined schema, partial schema, schema free)
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.noyesnono
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCANSI-99 for query and DML statements, subset of DDLSQL-like query language (GSQL)SQL-like query language (YQL)
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyes (compute grid and cache interceptors can be used instead)yesno
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yesnono
User concepts infoAccess controlDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Security Hooks for custom implementationsRole-based access controlAccess rights defined for Yandex Cloud users
More information provided by the system vendor
GraphDB infoformer name: OWLIMGridGainTigerGraphYDB
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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More resources
GraphDB infoformer name: OWLIMGridGainTigerGraphYDB
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