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DBMS > GraphDB vs. HarperDB vs. Interbase vs. TinkerGraph

System Properties Comparison GraphDB vs. HarperDB vs. Interbase vs. TinkerGraph

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonHarperDB  Xexclude from comparisonInterbase  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Light-weight proven RDBMS infooriginally from BorlandA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSGraph 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
Score0.55
Rank#248  Overall
#38  Document stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.ontotext.comwww.harperdb.iowww.embarcadero.com/­products/­interbasetinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationgraphdb.ontotext.com/­documentationdocs.harperdb.io/­docsdocs.embarcadero.com/­products/­interbase
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextHarperDBEmbarcadero
Initial release2000201719842009
Current release10.4, October 20233.1, August 2021InterBase 2020, December 2019
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial infofree community edition availablecommercialOpen 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 languageJavaNode.jsCJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Android
iOS
Linux
OS X
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesdynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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.nonono infoexport as XML data possibleno
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesno
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like data manipulation statementsyesno
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
TinkerPop 3
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Groovy
Java
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityCustom Functions infosince release 3.1yes infoInterbase procedure and trigger languageno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a clusternonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infothe nodes on which a table resides can be definedInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 dataACIDAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlno
Durability infoSupport for making data persistentyesyes, using LMDByesoptional
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.Access rights for users and rolesfine grained access rights according to SQL-standardno
More information provided by the system vendor
GraphDB infoformer name: OWLIMHarperDBInterbaseTinkerGraph
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: OWLIMHarperDBInterbaseTinkerGraph
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