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DBMS > Google BigQuery vs. GraphDB vs. JanusGraph vs. Oracle Rdb vs. TypeDB

System Properties Comparison Google BigQuery vs. GraphDB vs. JanusGraph vs. Oracle Rdb vs. TypeDB

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOracle Rdb  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesEnterprise-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.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMSGraph DBMS
RDF store
Graph DBMSRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score2.91
Rank#106  Overall
#8  Graph DBMS
#4  RDF stores
Score2.04
Rank#135  Overall
#11  Graph DBMS
Score1.23
Rank#180  Overall
#82  Relational DBMS
Score1.01
Rank#202  Overall
#19  Graph DBMS
#92  Relational DBMS
Websitecloud.google.com/­bigquerywww.ontotext.comjanusgraph.orgwww.oracle.com/­database/­technologies/­related/­rdb.htmltypedb.com
Technical documentationcloud.google.com/­bigquery/­docsgraphdb.ontotext.com/­documentationdocs.janusgraph.orgwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmltypedb.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperGoogleOntotextLinux Foundation; originally developed as Titan by AureliusOracle, originally developed by Digital Equipment Corporation (DEC)Vaticle
Initial release20102000201719842016
Current release10.4, October 20230.6.3, February 20237.4.1.1, 20212.26.3, January 2024
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 2.0commercialOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
HP Open VMSLinux
OS X
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesyes
SQL infoSupport of SQLyesstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoyesno
APIs and other access methodsRESTful HTTP/JSON APIGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptwell-defined plugin interfaces; JavaScript server-side extensibilityyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginenoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyes infoRelationships in graphsyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Default 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.User authentification and security via Rexster Graph Serveryes infoat REST API level; other APIs in progress
More information provided by the system vendor
Google BigQueryGraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanOracle RdbTypeDB infoformerly named Grakn
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
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Life sciences : TypeDB makes working with biological data much easier and accelerates...
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Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
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Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
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Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
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