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DBMS > Firebase Realtime Database vs. PostgreSQL

System Properties Comparison Firebase Realtime Database vs. PostgreSQL

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Our visitors often compare Firebase Realtime Database and PostgreSQL with MySQL, MongoDB and Amazon DynamoDB.

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.00
Rank#41  Overall
#7  Document stores
Score478.72
Rank#4  Overall
#4  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.postgresql.org
Technical documentationfirebase.google.com/­docs/­databasewww.postgresql.org/­docs/­manuals
DeveloperGoogle infoacquired by Google 2014PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20121989 info1989: Postgres, 1996: PostgreSQL
Current release11.2, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
Implementation languageC
Server operating systemshostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyes
SQL infoSupport of SQLnoyes infostandard with numerous extensions
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored procedureslimited functionality with using 'rules'user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
TriggersCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standard

More information provided by the system vendor

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Firebase Realtime DatabasePostgreSQL
DB-Engines blog posts

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Conferences and events

PGCon 2019, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 28-31 May 2019

Finished events

Achieving High Availability with PostgreSQL
Webinar, 4PM UTC, 26 February 2019 (finished)

Recent citations in the news

Realtime vs Cloud Firestore: Which Firebase Database to go?
12 October 2018, Appinventiv

How unsecured Firebase databases put critical data at risk
16 January 2019, TechTarget

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

Firebase for Startups: A Must-Have or Non-Essential
23 January 2019, Appinventiv

On the verge of Next '19, Google must double down on cloud applications
1 April 2019, SiliconANGLE News

provided by Google News

Building a scalable PostgreSQL solution
14 April 2019, Packt Hub

PostgreSQL security: a quick look at authentication best practices [Tutorial]
12 April 2019, Packt Hub

"Feature" of PostgreSQL 9.3 could enable hackers to execute code; affects Mac, Windows, Linux
1 April 2019, SC Magazine UK

Using Ethereum Logic Apps to push ledger data into to a MySQL or PostgreSQL database - Microsoft
25 March 2019, Channel 9

Crunchy Data Collaborates With Center for Internet Security® To Continue Advancing PostgreSQL Security For Enterprise
1 April 2019, PRNewswire

provided by Google News

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