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DBMS > Google Cloud Bigtable vs. Microsoft Azure SQL Data Warehouse

System Properties Comparison Google Cloud Bigtable vs. Microsoft Azure SQL Data Warehouse

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Our visitors often compare Google Cloud Bigtable and Microsoft Azure SQL Data Warehouse with Google BigQuery, Microsoft Azure Cosmos DB and Microsoft Azure Table Storage.

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.39
Rank#89  Overall
#7  Wide column stores
Score8.86
Rank#44  Overall
#27  Relational DBMS
Websitecloud.google.com/­bigtableazure.microsoft.com/­services/­sql-data-warehouse
Technical documentationcloud.google.com/­bigtable/­docsdocs.microsoft.com/­azure/­sql-data-warehouse
DeveloperGoogleMicrosoft
Initial release20152016
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 schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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 SQLnoyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
PHP
Server-side scripts infoStored proceduresnoTransact SQL
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID
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 rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes

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More resources
Google Cloud BigtableMicrosoft Azure SQL Data Warehouse
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse
1 November 2017,  Arnaud Comet, Microsoft (sponsor) 

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