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DBMS > CouchDB vs. Elasticsearch vs. Firebase Realtime Database vs. Interbase vs. Solr

System Properties Comparison CouchDB vs. Elasticsearch vs. Firebase Realtime Database vs. Interbase vs. Solr

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonElasticsearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonInterbase  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Light-weight proven RDBMS infooriginally from BorlandA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument storeSearch engineDocument storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score132.83
Rank#7  Overall
#1  Search engines
Score13.64
Rank#39  Overall
#6  Document stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitecouchdb.apache.orgwww.elastic.co/­elasticsearchfirebase.google.com/­products/­realtime-databasewww.embarcadero.com/­products/­interbasesolr.apache.org
Technical documentationdocs.couchdb.org/­en/­stablewww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlfirebase.google.com/­docs/­databasedocs.embarcadero.com/­products/­interbasesolr.apache.org/­resources.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerElasticGoogle infoacquired by Google 2014EmbarcaderoApache Software Foundation
Initial release20052010201219842006
Current release3.3.3, December 20238.6, January 2023InterBase 2020, December 20199.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoElastic LicensecommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJavaCJava
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMhostedAndroid
iOS
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyesyes 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.nononono infoexport as XML data possibleyes
Secondary indexesyes infovia viewsyes infoAll search fields are automatically indexedyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languagenoyesSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresView functions in JavaScriptyeslimited functionality with using 'rules'yes infoInterbase procedure and trigger languageJava plugins
Triggersyesyes infoby using the 'percolation' featureCallbacks are triggered when data changesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesInterbase Change Viewsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesES-Hadoop Connectornonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenoyesACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseyes, based on authentication and database rulesfine grained access rights according to SQL-standardyes

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"ElasticsearchFirebase Realtime DatabaseInterbaseSolr
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