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DBMS > Firebase Realtime Database vs. Microsoft Azure Table Storage vs. Realm vs. Solr

System Properties Comparison Firebase Realtime Database vs. Microsoft Azure Table Storage vs. Realm vs. Solr

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRealm  Xexclude from comparisonSolr  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 Wide Column Store for rapid development using massive semi-structured datasetsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument storeWide column storeDocument storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score7.41
Rank#52  Overall
#8  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitefirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­en-us/­services/­storage/­tablesrealm.iosolr.apache.org
Technical documentationfirebase.google.com/­docs/­databaserealm.io/­docssolr.apache.org/­resources.html
DeveloperGoogle infoacquired by Google 2014MicrosoftRealm, acquired by MongoDB in May 2019Apache Software Foundation
Initial release2012201220142006
Current release9.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedhostedAndroid
Backend: server-less
iOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnononoSolr Parallel SQL Interface
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'nono inforuns within the applications so server-side scripts are unnecessaryJava plugins
TriggersCallbacks are triggered when data changesnoyes infoChange Listenersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesoptimistic lockingACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes infoIn-Memory realmyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights based on private key authentication or shared access signaturesyesyes

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More resources
Firebase Realtime DatabaseMicrosoft Azure Table StorageRealmSolr
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