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DBMS > Google BigQuery vs. Microsoft Azure Table Storage vs. Microsoft SQL Server

System Properties Comparison Google BigQuery vs. Microsoft Azure Table Storage vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA Wide Column Store for rapid development using massive semi-structured datasetsMicrosofts relational DBMS
Primary database modelRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score36.00
Rank#24  Overall
#15  Relational DBMS
Score5.28
Rank#70  Overall
#5  Wide column stores
Score1031.23
Rank#3  Overall
#3  Relational DBMS
Websitecloud.google.com/­bigqueryazure.microsoft.com/­en-us/­services/­storage/­tableswww.microsoft.com/­en-us/­sql-server
Technical documentationcloud.google.com/­bigquery/­docsdocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperGoogleMicrosoftMicrosoft
Initial release201020121989
Current releaseSQL Server 2019, November 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhostedLinux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesnonoyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Access rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
Google BigQueryMicrosoft Azure Table StorageMicrosoft SQL Server
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