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DBMS > Google BigQuery vs. GraphDB vs. JaguarDB vs. Microsoft Azure Table Storage

System Properties Comparison Google BigQuery vs. GraphDB vs. JaguarDB vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Table Storage  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.Performant, highly scalable DBMS for AI and IoT applicationsA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSGraph DBMS
RDF store
Key-value store
Vector DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score3.10
Rank#100  Overall
#7  Graph DBMS
#4  RDF stores
Score0.09
Rank#356  Overall
#53  Key-value stores
#13  Vector DBMS
Score4.92
Rank#73  Overall
#6  Wide column stores
Websitecloud.google.com/­bigquerywww.ontotext.comwww.jaguardb.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationcloud.google.com/­bigquery/­docsgraphdb.ontotext.com/­documentationwww.jaguardb.com/­support.html
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperGoogleOntotextDataJaguar, Inc.Microsoft
Initial release2010200020152012
Current release10.4, October 20233.3 July 2023
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ infothe server part. Clients available in other languages
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
Linuxhosted
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesyesschema-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.nononono
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesno
SQL infoSupport of SQLyesstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
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
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptwell-defined plugin interfaces; JavaScript server-side extensibilitynono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnooptimistic locking
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.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.rights management via user accountsAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
Google BigQueryGraphDB infoformer name: OWLIMJaguarDBMicrosoft Azure Table Storage
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
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