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DBMS > Google BigQuery vs. Graph Engine

System Properties Comparison Google BigQuery vs. Graph Engine

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Our visitors often compare Google BigQuery and Graph Engine with Microsoft SQL Server, Microsoft Azure Cosmos DB and Elasticsearch.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelRelational DBMSGraph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.45
Rank#22  Overall
#15  Relational DBMS
Score1.08
Rank#208  Overall
#19  Graph DBMS
#34  Key-value stores
Websitecloud.google.com/­bigquerywww.graphengine.io
Technical documentationcloud.google.com/­bigquery/­docswww.graphengine.io/­docs/­manual
DeveloperGoogleMicrosoft
Initial release20102010
License infoCommercial or Open SourcecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and C
Server operating systemshosted.NET
Data schemeyesyes
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.nono
Secondary indexesno
SQL infoSupport of SQLyesno
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
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)

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More resources
Google BigQueryGraph Engine infoformer name: Trinity
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