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DBMS > Google Cloud Firestore vs. MySQL vs. Postgres-XL

System Properties Comparison Google Cloud Firestore vs. MySQL vs. Postgres-XL

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMySQL  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Widely used open source RDBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument storeRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.03
Rank#49  Overall
#8  Document stores
Score1202.85
Rank#2  Overall
#2  Relational DBMS
Score0.66
Rank#216  Overall
#103  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.mysql.comwww.postgres-xl.org
Technical documentationfirebase.google.com/­docs/­firestoredev.mysql.com/­docwww.postgres-xl.org/­documentation
DeveloperGoogleOracle infosince 2010, originally MySQL AB, then Sun
Initial release201719952014 infosince 2012, originally named StormDB
Current release8.0.30, July 202210 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoMozilla public license
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.
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Implementation languageC and C++C
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesyes
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 infoXML type, but no XML query functionality
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infodistributed, parallel query execution
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infoproprietary syntaxuser defined functions
Triggersyes, with Cloud Functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownono
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 datayesACID infonot for MyISAM storage engineACID infoMVCC
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.yesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.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 Cloud FirestoreMySQLPostgres-XL
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Recent citations in the news

It’s So Hot the Clouds Are Melting
21 July 2022, Gizmodo Australia

Google launches Cloud Firestore, a new document database for app developers
3 October 2017, TechCrunch

Google’s Cloud Firestore NoSQL database hits general availability
31 January 2019, TechCrunch

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11 May 2022, SiliconANGLE News

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