DBMS > Couchbase vs. Oracle Berkeley DB

System Properties Comparison Couchbase vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines

Name

Description

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

Widely used in-process key-value store

Primary database model

Document store

Key-value store

supports sorted and unsorted key sets
Native XML DBMS

in the Oracle Berkeley DB XML version

Secondary database models

Key-value store

originating from the former Membase product and supporting the Memcached protocol
Spatial DBMS

using the Geocouch extension

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

Score	30.76
Rank	#26	Overall
	#4	Document stores

Score	2.95
Rank	#95	Overall
	#17	Key-value stores
	#3	Native XML DBMS

Website

www.couchbase.com

www.oracle.com/technetwork/database/database-technologies/berkeleydb/overview/index.html

Technical documentation

docs.couchbase.com

docs.oracle.com/cd/E17076_05/html/index.html

Developer

Couchbase, Inc.

Oracle

originally developed by Sleepycat, which was acquired by Oracle

Initial release

2011

1994

Current release

Server: 6.5, January 2020; Mobile: 2.7, January 2020; Couchbase Autonomous Operator: 1.2, May 2019

18.1 (Core), June 2018

License

Commercial or Open Source

Open Source

Apache version 2; Commercial licenses also available

Open Source

commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Couchbase Cloud: Deploy, manage, and operate Couchbase in a few clicks

Implementation language

C, C++, Go and Erlang

C, Java, C++ (depending on the Berkeley DB edition)

Server operating systems

Linux
OS X
Windows

AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

String, Boolean, Number

XML support

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

yes

only with the Berkeley DB XML edition

Secondary indexes

yes

SQL

Support of SQL

Declarative query language (N1QL) that extends ANSI SQL to JSON. First commercial implementation of SQL++.

yes

SQL interfaced based on SQLite is available

APIs and other access methods

Native language bindings for CRUD, Query, Search and Analytics APIs

Supported programming languages

.Net
C
Clojure
ColdFusion
Erlang
Go
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala
Tcl

.Net

Figaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others

Third-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js)

3rd party binding
Perl
Python
Tcl

Server-side scripts

Stored procedures

Functions and timers in JavaScript

Triggers

yes

via the TAP protocol

yes

only for the SQL API

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

including cross data center replication
Source-replica replication

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

selectable on a per-operation basis

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

Ephemeral buckets

yes

User concepts

Access control

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

More information provided by the system vendor

Specific characteristics

Developed as an alternative to traditionally inflexible relational databases, Couchbase...
» more

Competitive advantages

Couchbase was architected with several differentiated capabilities: Shared-nothing,...
» more

Typical application scenarios

Customer 360 for user profile, session store and data aggregation (Comcast, Equifax,...
» more

Key customers

Amadeus, AT&T, BD (Becton, Dickinson and Company), Carrefour, Cisco, Comcast, Disney,...
» more

Market metrics

Named a leader in the Forrester Wave™: Big Data NoSQL, Q1 2019 Over 10M downloads...
» more

Licensing and pricing models

The Community Edition (CE) of Couchbase Server and Couchbase Mobile are available...
» more

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