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DBMS > Google BigQuery vs. SAP SQL Anywhere

System Properties Comparison Google BigQuery vs. SAP SQL Anywhere

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Our visitors often compare Google BigQuery and SAP SQL Anywhere with Microsoft SQL Server, MySQL and SAP HANA.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score34.41
Rank#24  Overall
#15  Relational DBMS
Score6.43
Rank#59  Overall
#33  Relational DBMS
Websitecloud.google.com/­bigquerywww.sap.com/­products/­sql-anywhere.html
Technical documentationcloud.google.com/­bigquery/­docshelp.sap.com/­sql-anywhere
DeveloperGoogleSAP infoformerly Sybase
Initial release20101992
Current release17, July 2015
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
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
HTTP API
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes, in C/C++, Java, .Net or Perl
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoDatabase mirroring
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.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Google BigQuerySAP SQL Anywhere infoformerly called Adaptive Server Anywhere
DB-Engines blog posts

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Recent citations in the news

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25 September 2020, Seeking Alpha

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13 December 2018, Analytics India Magazine

provided by Google News

SAP SQL Anywhere
13 October 2016, TechTarget

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16 July 2015, Computerworld

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14 July 2020, Datamation

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