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DBMS > GraphDB vs. Ignite vs. Teradata vs. TinkerGraph

System Properties Comparison GraphDB vs. Ignite vs. Teradata vs. TinkerGraph

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonIgnite  Xexclude from comparisonTeradata  Xexclude from comparisonTinkerGraph  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A hybrid cloud data analytics software platform (Teradata Vantage)A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.ontotext.comignite.apache.orgwww.teradata.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationgraphdb.ontotext.com/­documentationapacheignite.readme.io/­docsdocs.teradata.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextApache Software FoundationTeradata
Initial release2000201519842009
Current release10.4, October 2023Apache Ignite 2.6Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
hosted
Linux
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesyesschema-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.noyesyesno
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCANSI-99 for query and DML statements, subset of DDLyes infoSQL 2016 + extensionsno
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
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
TinkerPop 3
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Groovy
Java
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyes (compute grid and cache interceptors can be used instead)yes infoUDFs, stored procedures, table functions in parallelno
Triggersnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
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 Consistencynone
Foreign keys infoReferential integrityyes infoConstraint checkingnoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
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 implementationsfine grained access rights according to SQL-standardno
More information provided by the system vendor
GraphDB infoformer name: OWLIMIgniteTeradataTinkerGraph
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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