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DBMS > Google BigQuery vs. Google Cloud Spanner vs. MySQL vs. PouchDB

System Properties Comparison Google BigQuery vs. Google Cloud Spanner vs. MySQL vs. PouchDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMySQL  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Widely used open source RDBMSJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score3.37
Rank#97  Overall
#50  Relational DBMS
Score1101.50
Rank#2  Overall
#2  Relational DBMS
Score2.70
Rank#114  Overall
#22  Document stores
Websitecloud.google.com/­bigquerycloud.google.com/­spannerwww.mysql.compouchdb.com
Technical documentationcloud.google.com/­bigquery/­docscloud.google.com/­spanner/­docsdev.mysql.com/­docpouchdb.com/­guides
DeveloperGoogleGoogleOracle infosince 2010, originally MySQL AB, then SunApache Software Foundation
Initial release2010201719952012
Current release8.3.0, January 20247.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source
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 languageC and C++JavaScript
Server operating systemshostedhostedFreeBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyesno
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011yes infowith proprietary extensionsno
APIs and other access methodsRESTful HTTP/JSON APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes infoproprietary syntaxView functions in JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infoStrict serializable isolationACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesno

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
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More resources
Google BigQueryGoogle Cloud SpannerMySQLPouchDB
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