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DBMS > Google BigQuery vs. MySQL

System Properties Comparison Google BigQuery vs. MySQL

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Our visitors often compare Google BigQuery and MySQL with Amazon Redshift, Microsoft Azure Cosmos DB and Elasticsearch.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesWidely used open source RDBMS
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.47
Rank#28  Overall
#16  Relational DBMS
Score1253.68
Rank#2  Overall
#2  Relational DBMS
Websitecloud.google.com/­bigquerywww.mysql.com
Technical documentationcloud.google.com/­bigquery/­docsdev.mysql.com/­doc
DeveloperGoogleOracle infosince 2010, originally MySQL AB, then Sun
Initial release20101995
Current release8.0.17, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
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.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageC and C++
Server operating systemshostedFreeBSD
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 infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIProprietary native API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infoproprietary syntax
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
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 infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engine
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)Users with fine-grained authorization concept infono user groups or roles

More information provided by the system vendor

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More resources
Google BigQueryMySQL
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Recent citations in the news

Acquisitions to Fuel Programmable Analytics
11 June 2019, DevOps.com

Comparing Redshift and BigQuery in various terms
13 December 2018, Analytics India Magazine

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23 March 2016, ZDNet

provided by Google News

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