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DBMS > Google BigQuery vs. Microsoft Azure Table Storage

System Properties Comparison Google BigQuery vs. Microsoft Azure Table Storage

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

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score35.76
Rank#24  Overall
#15  Relational DBMS
Score5.68
Rank#66  Overall
#5  Wide column stores
Websitecloud.google.com/­bigqueryazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationcloud.google.com/­bigquery/­docs
DeveloperGoogleMicrosoft
Initial release20102012
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.
Server operating systemshostedhosted
Data schemeyesschema-free
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 indexesnono
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
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataoptimistic locking
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.nono
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 signatures

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More resources
Google BigQueryMicrosoft Azure Table Storage
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