DBMS > Couchbase vs. Oracle vs. OushuDB

System Properties Comparison Couchbase vs. Oracle vs. OushuDB

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Editorial information provided by DB-Engines

Name

Description

A distributed document store with a powerful search engine and in-built operational and analytical capabilities

Widely used RDBMS

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

Primary database model

Document store

Relational DBMS

Secondary database models

Key-value store

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

using the Geocouch extension

Document store
Graph DBMS

with Oracle Spatial and Graph
RDF store

with Oracle Spatial and Graph
Spatial DBMS

with Oracle Spatial and Graph

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

Score	24.42
Rank	#31	Overall
	#5	Document stores

Score	1232.64
Rank	#1	Overall
	#1	Relational DBMS

Score	0.10
Rank	#382	Overall
	#157	Relational DBMS

Website

www.couchbase.com

www.oracle.com/database

www.oushu.com/product/oushuDB

Technical documentation

docs.couchbase.com

docs.oracle.com/en/database

www.oushu.com/documentation

Developer

Couchbase, Inc.

Oracle

Oushu

Initial release

2011

1980

Current release

Server: 7.0, July 2021; Mobile: 3, February 2022; Couchbase Capella, October 2021

21c, January 2021

4.0.1, August 2020

License

Commercial or Open Source

Open Source

Apache version 2; Commercial licenses also available

commercial

restricted free version is available

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C, C++, Go and Erlang

C and C++

Server operating systems

Linux
OS X
Windows

AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS

Linux

Data scheme

schema-free

yes

Schemaless in JSON and XML columns

yes

Typing

predefined data types such as float or date

yes

String, Boolean, Number

yes

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

Secondary indexes

yes

SQL

Support of SQL

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

yes

with proprietary extensions

Full-featured ANSI SQL support

APIs and other access methods

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

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

JDBC
ODBC

Supported programming languages

.Net
C
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Scala

C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic

C
C++

Server-side scripts

Stored procedures

Functions and timers in JavaScript

PL/SQL

also stored procedures in Java possible

yes

Triggers

yes

via the TAP protocol

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding, horizontal partitioning

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

including cross data center replication
Source-replica replication

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

can be realized in PL/SQL

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

selectable on a per-operation basis

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

isolation level can be parameterized

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

Version 12c introduced the new option 'Oracle Database In-Memory'

User concepts

Access control

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

fine grained access rights according to SQL-standard

Kerberos, SSL and role based access

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