DBMS > Amazon DocumentDB vs. CouchDB vs. Elasticsearch

System Properties Comparison Amazon DocumentDB vs. CouchDB vs. Elasticsearch

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Editorial information provided by DB-Engines

Name

Description

Fast, scalable, highly available, and fully managed MongoDB-compatible database service

A 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 info

Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric

Primary database model

Document store

Search engine

Secondary database models

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.79
Rank	#187	Overall
	#29	Document stores

Score	17.25
Rank	#35	Overall
	#5	Document stores

Score	150.50
Rank	#8	Overall
	#1	Search engines

Website

aws.amazon.com/documentdb

couchdb.apache.org

www.elastic.co/elasticsearch

Technical documentation

aws.amazon.com/documentdb/resources

docs.couchdb.org/en/stable

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

Developer

Apache Software Foundation info

Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developer

Elastic

Initial release

2019

2005

2010

Current release

3.0, February 2020

7.8.0, June 2020

License

Commercial or Open Source

commercial

Open Source info

Apache version 2

Open Source info

Apache Version 2; Elastic License

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database 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 Amazon Web Services, Google Cloud and Microsoft Azure that's powered by the creators of Elasticsearch.

Implementation language

Erlang

Java

Server operating systems

hosted

Android
BSD
Linux
OS X
Solaris
Windows

All OS with a Java VM

Data scheme

schema-free

schema-free info

Flexible type definitions. Once a type is defined, it is persistent

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

via views

yes

All search fields are automatically indexed

SQL

Support of SQL

SQL-like query language

APIs and other access methods

proprietary protocol using JSON (MongoDB compatible)

RESTful HTTP/JSON API

Java API
RESTful HTTP/JSON API

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python

C
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 info

Stored procedures

View functions in JavaScript

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods info

Methods for storing different data on different nodes

none

Sharding

improved architecture with release 2.0

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas

Multi-source replication
Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

yes

ES-Hadoop Connector

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Eventual Consistency info

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Foreign keys info

Referential integrity

typically not used, however similar functionality with DBRef possible

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

Atomic single-document operations

atomic operations within a single document possible

Concurrency info

Support for concurrent manipulation of data

yes

strategy: optimistic locking

yes

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

Memcached and Redis integration

User concepts info

Access control

Access rights for users and roles

Access rights for users can be defined per database

More information provided by the system vendor

Specific characteristics

Elasticsearch is an open source search and analytics engine. As the heart of the...
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Competitive advantages

Open source Real-time indexsearch, and analysis Horizontally scalable Distributed...
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Typical application scenarios

Enterprise search (search experiences for your workplace, apps, and websites), observability...
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Key customers

Thousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
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Market metrics

Public as of October 2018 Distributed workforce with 1900+ employees around the globe...
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Licensing and pricing models

The Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
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