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DBMS > Firebase Realtime Database vs. Splice Machine vs. YTsaurus

System Properties Comparison Firebase Realtime Database vs. Splice Machine vs. YTsaurus

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonSplice Machine  Xexclude from comparisonYTsaurus  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.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkYTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument storeRelational DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitefirebase.google.com/­products/­realtime-databasesplicemachine.comytsaurus.tech
Technical documentationfirebase.google.com/­docs/­databasesplicemachine.com/­how-it-worksytsaurus.tech/­docs/­en
DeveloperGoogle infoacquired by Google 2014Splice MachineYandex
Initial release201220142023
Current release3.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedLinux
OS X
Solaris
Windows
Ubuntu
Data schemeschema-freeyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoyesYQL, an SQL-based language, is supported
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infoJava
TriggersCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationyes
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 datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.yes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles according to SQL-standardAccess Control Lists

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More resources
Firebase Realtime DatabaseSplice MachineYTsaurus
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