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DBMS > CouchDB vs. Google BigQuery vs. MySQL

System Properties Comparison CouchDB vs. Google BigQuery vs. MySQL

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Large scale data warehouse service with append-only tablesWidely used open source RDBMS
Primary database modelDocument storeRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.92
Rank#39  Overall
#6  Document stores
Score41.26
Rank#24  Overall
#15  Relational DBMS
Score1228.38
Rank#2  Overall
#2  Relational DBMS
Websitecouchdb.apache.orgcloud.google.com/­bigquerywww.mysql.com
Technical documentationdocs.couchdb.org/­en/­stablecloud.google.com/­bigquery/­docsdev.mysql.com/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleOracle infosince 2010, originally MySQL AB, then Sun
Initial release200520101995
Current release3.1.1, September 20208.0.25, May 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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ScaleGrid for MySQL: Fully managed MySQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageErlangC and C++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesyes infovia viewsnoyes
SQL infoSupport of SQLnoyesyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.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 proceduresView functions in JavaScriptuser defined functions infoin JavaScriptyes infoproprietary syntax
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0nonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
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 methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleno infoSince BigQuery is designed for querying dataACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes infotable locks or row locks depending on storage engine
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.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess 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

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