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DBMS > ClickHouse vs. Dolt vs. Google BigQuery vs. MySQL

System Properties Comparison ClickHouse vs. Dolt vs. Google BigQuery vs. MySQL

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDolt  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexA MySQL compatible DBMS with Git-like versioning of data and schemaLarge scale data warehouse service with append-only tablesWidely used open source RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsTime Series DBMSDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.67
Rank#44  Overall
#28  Relational DBMS
Score0.91
Rank#212  Overall
#100  Relational DBMS
Score55.69
Rank#21  Overall
#14  Relational DBMS
Score1199.40
Rank#2  Overall
#2  Relational DBMS
Websiteclickhouse.techgithub.com/­dolthub/­dolt
www.dolthub.com
cloud.google.com/­bigquerywww.mysql.com
Technical documentationclickhouse.tech/­docsdocs.dolthub.comcloud.google.com/­bigquery/­docsdev.mysql.com/­doc
DeveloperClickhouse Inc.DoltHub IncGoogleOracle infosince 2010, originally MySQL AB, then Sun
Initial release2016201820101995
Current releasev22.8.5.29-lts, September 20228.0.31, October 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenonoyesno
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.
Implementation languageC++GoC and C++
Server operating systemsFreeBSD
Linux
macOS
Linux
macOS
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesyes, when using the MergeTree engineyesnoyes
SQL infoSupport of SQLClose to ANSI SQLyesyesyes infowith proprietary extensions
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
CLI Client
HTTP REST
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.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 proceduresnoyes infocurrently in alpha releaseuser defined functions infoin JavaScriptyes infoproprietary syntax
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replication
Source-replica replication
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 integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoSince BigQuery is designed for querying dataACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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 controlAccess rights for users and rolesOnly one user is configurable, and must be specified in the config file at startupAccess 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 roles

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More resources
ClickHouseDoltGoogle BigQueryMySQL
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