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DBMS > Firebase Realtime Database vs. Google BigQuery

System Properties Comparison Firebase Realtime Database vs. Google BigQuery

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Our visitors often compare Firebase Realtime Database and Google BigQuery with Microsoft Azure Cosmos DB, PostgreSQL and Microsoft SQL Server.

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGoogle BigQuery  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.Large scale data warehouse service with append-only tables
Primary database modelDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.00
Rank#41  Overall
#7  Document stores
Score20.69
Rank#31  Overall
#19  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasecloud.google.com/­bigquery
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­bigquery/­docs
DeveloperGoogle infoacquired by Google 2014Google
Initial release20122010
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhosted
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.nono
Secondary indexesyesno
SQL infoSupport of SQLnoyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'user defined functions infoin JavaScript
TriggersCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnone
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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoSince BigQuery is designed for querying data
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 rulesAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)

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More resources
Firebase Realtime DatabaseGoogle BigQuery
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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

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

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

provided by Google News

Comparing Redshift and BigQuery in various terms
13 December 2018, Analytics India Magazine

Google Cloud Platform breaks through with big enterprises, signs up Disney and others
23 March 2016, ZDNet

Google BigQuery Analytics
3 January 2015, iProgrammer

provided by Google News

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