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DBMS > Firebase Realtime Database vs. Microsoft Azure AI Search vs. Oracle Rdb vs. Spark SQL

System Properties Comparison Firebase Realtime Database vs. Microsoft Azure AI Search vs. Oracle Rdb vs. Spark SQL

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle Rdb  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.Search-as-a-service for web and mobile app developmentSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeSearch engineRelational DBMSRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score5.52
Rank#59  Overall
#6  Search engines
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­technologies/­related/­rdb.htmlspark.apache.org/­sql
Technical documentationfirebase.google.com/­docs/­databaselearn.microsoft.com/­en-us/­azure/­searchwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGoogle infoacquired by Google 2014MicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation
Initial release2012201519842014
Current releaseV17.4.1.1, 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemshostedhostedHP Open VMSLinux
OS X
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statements
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
C#
Java
JavaScript
Python
Java
Python
R
Scala
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 nodesSharding infoImplicit feature of the cloud serviceyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoyes, on a single nodeno
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.nonono
User concepts infoAccess controlyes, based on authentication and database rulesyes infousing Azure authenticationno

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More resources
Firebase Realtime DatabaseMicrosoft Azure AI SearchOracle RdbSpark SQL
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