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DBMS > Google BigQuery vs. MySQL vs. TiDB

System Properties Comparison Google BigQuery vs. MySQL vs. TiDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMySQL  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesWidely used open source RDBMSTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score54.87
Rank#20  Overall
#14  Relational DBMS
Score1172.46
Rank#2  Overall
#2  Relational DBMS
Score3.19
Rank#112  Overall
#56  Relational DBMS
Websitecloud.google.com/­bigquerywww.mysql.compingcap.com
Technical documentationcloud.google.com/­bigquery/­docsdev.mysql.com/­docdocs.pingcap.com/­tidb/­stable
DeveloperGoogleOracle infosince 2010, originally MySQL AB, then SunPingCAP, Inc.
Initial release201019952016
Current release8.0.33, April 20237.0.0, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache 2.0
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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TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageC and C++Go, Rust
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyes
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
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
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 syntaxno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyes infofull support since version 6.6
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.noyesno
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
More information provided by the system vendor
Google BigQueryMySQLTiDB
Specific characteristicsTiDB is an open-source NewSQL database built by PingCAP. TiDB supports Hybrid Transactional...
» more
Competitive advantagesIn the current database landscape, infrastructure engineers often have to use one...
» more
Typical application scenariosTiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more
Key customersShopee (E-commerce) BookMyShow.com (E-commerce) Yiguo.com (E-commerce) JD Cloud &...
» more
Market metrics25K+ GitHub Stars for TiDB, and 8K+ GitHub Stars for TiKV 1.6K+ members in TiDB Community...
» more
Licensing and pricing modelsOpen Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more

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More resources
Google BigQueryMySQLTiDB
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