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DBMS > Google BigQuery vs. Microsoft Azure SQL Database

System Properties Comparison Google BigQuery vs. Microsoft Azure SQL Database

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Our visitors often compare Google BigQuery and Microsoft Azure SQL Database with Microsoft SQL Server, MySQL and PostgreSQL.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score45.62
Rank#24  Overall
#16  Relational DBMS
Score86.32
Rank#14  Overall
#9  Relational DBMS
Websitecloud.google.com/­bigqueryazure.microsoft.com/­en-us/­services/­sql-database
Technical documentationcloud.google.com/­bigquery/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperGoogleMicrosoft
Initial release20102010
Current releaseV12
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhosted
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.noyes
Secondary indexesnoyes
SQL infoSupport of SQLyesyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptTransact SQL
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
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 datayesyes
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.no
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Google BigQueryMicrosoft Azure SQL Database infoformerly SQL Azure
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