DBMS > IBM Cloudant vs. Oracle Rdb vs. PostGIS vs. RDFox

System Properties Comparison IBM Cloudant vs. Oracle Rdb vs. PostGIS vs. RDFox

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Editorial information provided by DB-Engines

Name

Description

Database as a Service offering based on Apache CouchDB

Spatial extension of PostgreSQL

High performance knowledge graph and semantic reasoning engine

Primary database model

Secondary database models

Relational DBMS

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

Score	2.68
Rank	#106	Overall
	#20	Document stores

Score	1.08
Rank	#184	Overall
	#85	Relational DBMS

Score	22.69
Rank	#29	Overall
	#1	Spatial DBMS

Score	0.23
Rank	#308	Overall
	#25	Graph DBMS
	#14	RDF stores

Website

www.ibm.com/products/cloudant

www.oracle.com/database/technologies/related/rdb.html

postgis.net

www.oxfordsemantic.tech

Technical documentation

cloud.ibm.com/docs/Cloudant

www.oracle.com/database/technologies/related/rdb-doc.html

postgis.net/documentation

docs.oxfordsemantic.tech

Developer

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Oracle, originally developed by Digital Equipment Corporation (DEC)

Oxford Semantic Technologies

Initial release

2010

1984

2005

2017

Current release

7.4.1.1, 2021

3.4.2, February 2024

6.0, Septermber 2022

License

Commercial or Open Source

commercial

Open Source

GPL v2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Erlang

C++

Server operating systems

hosted

HP Open VMS

Linux
macOS
Windows

Data scheme

schema-free

Flexible Schema (defined schema, partial schema, schema free)

yes

RDF schemas

Typing

predefined data types such as float or date

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

yes

APIs and other access methods

RESTful HTTP/JSON API

RESTful HTTP API
SPARQL 1.1

Supported programming languages

C#
Java
JavaScript
Objective-C
PHP
Ruby

C
Java

Server-side scripts

Stored procedures

View functions (Map-Reduce) in JavaScript

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

based on PostgreSQL

replication via a shared file system

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

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Foreign keys

Referential integrity

yes

Transaction concepts

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

atomic operations within a document possible

yes, on a single node

ACID

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

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

User concepts

Access control

Access rights for users can be defined per database

yes

based on PostgreSQL

Roles, resources, and access types

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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