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DBMS > Firebase Realtime Database vs. IBM Cloudant vs. Linter vs. Solr

System Properties Comparison Firebase Realtime Database vs. IBM Cloudant vs. Linter vs. Solr

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonLinter  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.Database as a Service offering based on Apache CouchDBRDBMS for high security requirementsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument storeDocument storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitefirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­cloudantlinter.rusolr.apache.org
Technical documentationfirebase.google.com/­docs/­databasecloud.ibm.com/­docs/­Cloudantsolr.apache.org/­resources.html
DeveloperGoogle infoacquired by Google 2014IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014relex.ruApache Software Foundation
Initial release2012201019902006
Current release9.6.0, April 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen 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 languageErlangC and C++Java
Server operating systemshostedhostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
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 dateyesnoyesyes 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 indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoyesSolr Parallel SQL Interface
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.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'View functions (Map-Reduce) in JavaScriptyes infoproprietary syntax with the possibility to convert from PL/SQLJava plugins
TriggersCallbacks are triggered when data changesyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnospark-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
Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoatomic operations within a document possibleACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
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
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users can be defined per databasefine grained access rights according to SQL-standardyes

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Firebase Realtime DatabaseIBM CloudantLinterSolr
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