DBMS > Couchbase vs. CouchDB

System Properties Comparison Couchbase vs. CouchDB

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Editorial information provided by DB-Engines

Name

Description

JSON-based document store derived from CouchDB with a Memcached-compatible interface

A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.

Primary database model

Document store

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

Score	34.59
Rank	#23	Overall
	#3	Document stores

Score	19.32
Rank	#32	Overall
	#5	Document stores

Website

www.couchbase.com

couchdb.apache.org

Technical documentation

docs.couchbase.com

wiki.apache.org/couchdb

Developer

Couchbase, Inc.

Apache Software Foundation info

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

Initial release

2011

2005

Current release

6.0.0, October 2018

2.3.0, December 2018

License

Commercial or Open Source

Open Source info

Apache version 2

Open Source info

Apache version 2

Cloud-based only info

Only available as a cloud service

Implementation language

C, C++, Go and Erlang

Erlang

Server operating systems

Linux
OS X
Windows

Android
BSD
Linux
OS X
Solaris
Windows

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

String, Boolean, Number

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

SQL

Support of SQL

SQL-like query language (N1QL)

APIs and other access methods

Memcached protocol
RESTful HTTP API info

only for server administration

RESTful HTTP/JSON API

Supported programming languages

.Net
C
Clojure
ColdFusion
Erlang
Go
Java
JavaScript info

Node.js
Perl
PHP
Python
Ruby
Scala
Tcl

C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk

Server-side scripts info

Stored procedures

View functions in JavaScript

Triggers

yes

via the TAP protocol

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

improved architecture with release 2.0

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-master replication info

including cross data center replication
Master-slave replication

Master-master replication
Master-slave replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency info

selectable on a per-operation basis

Eventual Consistency

Foreign keys info

Referential integrity

Transaction concepts info

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

atomic operations within a single document possible

Concurrency info

Support for concurrent manipulation of data

yes

strategy: optimistic locking

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.

User concepts info

Access control

User and Administrator separation with password-based and LDAP integrated Authentication

Access rights for users can be defined per database

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