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DBMS > Google BigQuery vs. RDFox

System Properties Comparison Google BigQuery vs. RDFox

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.45
Rank#22  Overall
#15  Relational DBMS
Score0.33
Rank#321  Overall
#33  Graph DBMS
#16  RDF stores
Websitecloud.google.com/­bigquerywww.oxfordsemantic.tech
Technical documentationcloud.google.com/­bigquery/­docsdocs.oxfordsemantic.tech
DeveloperGoogleOxford Semantic Technologies
Initial release20102017
Current release6.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
macOS
Windows
Data schemeyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesno
SQL infoSupport of SQLyesno
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP API
SPARQL 1.1
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavaScript
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Roles, resources, and access types

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More resources
Google BigQueryRDFox
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