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DBMS > Firebase Realtime Database vs. Heroic vs. SQream DB vs. Yanza

System Properties Comparison Firebase Realtime Database vs. Heroic vs. SQream DB vs. Yanza

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHeroic  Xexclude from comparisonSQream DB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearcha GPU-based, columnar RDBMS for big data analytics workloadsTime Series DBMS for IoT Applications
Primary database modelDocument storeTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasegithub.com/­spotify/­heroicsqream.comyanza.com
Technical documentationfirebase.google.com/­docs/­databasespotify.github.io/­heroicdocs.sqream.com
DeveloperGoogle infoacquired by Google 2014SpotifySQream TechnologiesYanza
Initial release2012201420172015
Current release2022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinuxWindows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesno
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.nonono
Secondary indexesyesyes infovia Elasticsearchnono
SQL infoSupport of SQLnonoyesno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.Net
JDBC
ODBC
HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C++
Java
JavaScript (Node.js)
Python
any language that supports HTTP calls
Server-side scripts infoStored procedureslimited functionality with using 'rules'nouser defined functions in Pythonno
TriggersCallbacks are triggered when data changesnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 rulesno

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More resources
Firebase Realtime DatabaseHeroicSQream DBYanza
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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