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DBMS > Google BigQuery vs. Microsoft Azure Synapse Analytics

System Properties Comparison Google BigQuery vs. Microsoft Azure Synapse Analytics

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Our visitors often compare Google BigQuery and Microsoft Azure Synapse Analytics with Amazon Redshift, Snowflake and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score43.79
Rank#25  Overall
#16  Relational DBMS
Score17.27
Rank#39  Overall
#24  Relational DBMS
Websitecloud.google.com/­bigqueryazure.microsoft.com/­services/­synapse-analytics
Technical documentationcloud.google.com/­bigquery/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperGoogleMicrosoft
Initial release20102016
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.nono
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
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptTransact SQL
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes
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 integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
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)yes

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More resources
Google BigQueryMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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