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DBMS > Amazon Redshift vs. Google BigQuery vs. MySQL vs. STSdb

System Properties Comparison Amazon Redshift vs. Google BigQuery vs. MySQL vs. STSdb

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMySQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsLarge scale data warehouse service with append-only tablesWidely used open source RDBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.03
Rank#34  Overall
#21  Relational DBMS
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score1087.72
Rank#2  Overall
#2  Relational DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Websiteaws.amazon.com/­redshiftcloud.google.com/­bigquerywww.mysql.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­redshiftcloud.google.com/­bigquery/­docsdev.mysql.com/­doc
DeveloperAmazon (based on PostgreSQL)GoogleOracle infosince 2010, originally MySQL AB, then SunSTS Soft SC
Initial release2012201019952011
Current release8.3.0, January 20244.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageCC and C++C#
Server operating systemshostedhostedFreeBSD
Linux
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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 indexesrestrictednoyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyes infowith proprietary extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
.NET Client API
Supported programming languagesAll languages supporting JDBC/ODBC.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
C#
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions infoin JavaScriptyes infoproprietary syntaxno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesno

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More resources
Amazon RedshiftGoogle BigQueryMySQLSTSdb
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