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DBMS > Google BigQuery vs. MySQL vs. Teradata

System Properties Comparison Google BigQuery vs. MySQL vs. Teradata

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMySQL  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesWidely used open source RDBMSA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.44
Rank#21  Overall
#14  Relational DBMS
Score1182.79
Rank#2  Overall
#2  Relational DBMS
Score63.74
Rank#18  Overall
#12  Relational DBMS
Websitecloud.google.com/­bigquerywww.mysql.comwww.teradata.com
Technical documentationcloud.google.com/­bigquery/­docsdev.mysql.com/­docdocs.teradata.com
DeveloperGoogleOracle infosince 2010, originally MySQL AB, then SunTeradata
Initial release201019951984
Current release8.0.32, January 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ScaleGrid for MySQL: Fully managed MySQL hosting On-Premises and on a wide variety of cloud providers. Easily deploy, monitor, provision, and scale your deployments in the cloud.
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Implementation languageC and C++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
hosted
Linux
Data schemeyesyesyes
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.noyesyes
Secondary indexesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesyes infowith proprietary extensionsyes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
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
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infoproprietary syntaxyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
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 integritynoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
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.noyesyes
User concepts infoAccess controlAccess 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 rolesfine grained access rights according to SQL-standard

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More resources
Google BigQueryMySQLTeradata
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