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DBMS > Firebase Realtime Database vs. OpenMLDB vs. Sadas Engine

System Properties Comparison Firebase Realtime Database vs. OpenMLDB vs. Sadas Engine

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSadas Engine  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.An open-source machine learning database that provides a feature platform for training and inferenceSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelDocument storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databaseopenmldb.aiwww.sadasengine.com
Technical documentationfirebase.google.com/­docs/­databaseopenmldb.ai/­docs/­zh/­mainwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperGoogle infoacquired by Google 20144 Paradigm Inc.SADAS s.r.l.
Initial release201220202006
Current release2024-2 February 20248.0
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, ScalaC++
Server operating systemshostedLinuxAIX
Linux
Windows
Data schemeschema-freeFixed schemayes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
SQLAlchemy
JDBC
ODBC
Proprietary protocol
Supported programming languagesJava
JavaScript
Objective-C
C++
Go
Java
Python
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'nono
TriggersCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Firebase Realtime DatabaseOpenMLDBSadas Engine
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