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DBMS > CouchDB vs. Elasticsearch

System Properties Comparison CouchDB vs. Elasticsearch

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Our visitors often compare CouchDB and Elasticsearch with MongoDB, Cassandra and Couchbase.

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonElasticsearch  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 metric
Primary database modelDocument storeSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.12
Rank#34  Overall
#5  Document stores
Score150.25
Rank#7  Overall
#1  Search engines
Websitecouchdb.apache.orgwww.elastic.co/­products/­elasticsearch
Technical documentationdocs.couchdb.org/­en/­stablewww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerElastic
Initial release20052010
Current release2.3.1, March 20197.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2; Elastic License
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.
Implementation languageErlangJava
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or datenoyes
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.nono
Secondary indexesyes infovia viewsyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIJava 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
Server-side scripts infoStored proceduresView functions in JavaScriptyes
Triggersyesyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesES-Hadoop Connector
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, all
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleno
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integration
User concepts infoAccess controlAccess rights for users can be defined per database
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Elasticsearch
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
Typical application scenarios
» more
Key customers
» more
Market metricsMore than 250 million cumulative downloads More than 100,000 community members in...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

Elastic Cloud: Try the official hosted Elasticsearch.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Elasticsearch
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Recent citations in the news

IBM Adds Kubernetes Operator for CouchDB
26 September 2019, Datanami

How to create your first CouchDB database with Fauxton
8 May 2019, TechRepublic

How to install CouchDB on CentOS 7
30 April 2019, TechRepublic

IBM Adds Support and Kubernetes Operator for Apache CouchDB to Sync Data Across Multi-Cloud Environments
30 September 2019, Database Trends and Applications

NoSQL Databases Software Market Insights, Trends, Outlook 2019 | Top Key Players: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase
29 November 2019, Insta Newsletters

provided by Google News

AWS Bolsters Redshift, Elasticsearch Services
4 December 2019, Datanami

AWS announces UltraWarm tier for Amazon Elasticsearch Service
3 December 2019, TechCrunch

Exposed: Amazon Elasticsearch exposure
15 November 2019, Naked Security

Elasticsearch Server Exposed 1.2 Billion People Data
25 November 2019, CISO MAG

An unsecured Elasticsearch server exposed 1.2 billion user records containing their personal and social information
26 November 2019, Packt Hub

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