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DBMS > Firebase Realtime Database vs. MaxDB vs. Spark SQL

System Properties Comparison Firebase Realtime Database vs. MaxDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonSpark SQL  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.A robust and reliable RDBMS optimized to run all major SAP solutionsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.00
Rank#39  Overall
#6  Document stores
Score2.65
Rank#111  Overall
#55  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasemaxdb.sap.comspark.apache.org/­sql
Technical documentationfirebase.google.com/­docs/­databasemaxdb.sap.com/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGoogle infoacquired by Google 2014SAP, acquired from Software AG (Adabas-D) in 1997Apache Software Foundation
Initial release201219842014
Current release7.9.10.12, February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Scala
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
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 indexesyesyesno
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
.Net
C#
Java
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesno
TriggersCallbacks are triggered when data changesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Core
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 Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
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.nono
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardno

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More resources
Firebase Realtime DatabaseMaxDB infoformerly named Adabas-DSpark SQL
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
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