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DBMS > Amazon Redshift vs. Firebase Realtime Database

System Properties Comparison Amazon Redshift vs. Firebase Realtime Database

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Our visitors often compare Amazon Redshift and Firebase Realtime Database with Amazon DynamoDB, Microsoft Azure Cosmos DB and Microsoft SQL Server.

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.31
Rank#29  Overall
#17  Relational DBMS
Score11.00
Rank#41  Overall
#7  Document stores
Websiteaws.amazon.com/­redshiftfirebase.google.com/­products/­realtime-database
Technical documentationdocs.aws.amazon.com/­redshiftfirebase.google.com/­docs/­database
DeveloperAmazon (based on PostgreSQL)Google infoacquired by Google 2014
Initial release20122012
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.
Implementation languageC
Server operating systemshostedhosted
Data schemeyesschema-free
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 indexesrestrictedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardno
APIs and other access methodsJDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCJava
JavaScript
Objective-C
Server-side scripts infoStored proceduresuser defined functions infoin Pythonlimited functionality with using 'rules'
TriggersnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes
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.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rules

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

More resources
Amazon RedshiftFirebase Realtime Database
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Recent citations in the news

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