DBMS > IBM Cloudant vs. Oracle Coherence vs. RDFox

System Properties Comparison IBM Cloudant vs. Oracle Coherence vs. RDFox

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Editorial information provided by DB-Engines

Name

Description

Database as a Service offering based on Apache CouchDB

Oracles in-memory data grid solution

High performance knowledge graph and semantic reasoning engine

Primary database model

Document store

Key-value store

Graph DBMS
RDF store

Secondary database models

Relational DBMS

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

Score	2.75
Rank	#104	Overall
	#19	Document stores

Score	1.97
Rank	#129	Overall
	#22	Key-value stores

Score	0.29
Rank	#300	Overall
	#24	Graph DBMS
	#13	RDF stores

Website

www.ibm.com/products/cloudant

www.oracle.com/java/coherence

www.oxfordsemantic.tech

Technical documentation

cloud.ibm.com/docs/Cloudant

docs.oracle.com/en/middleware/standalone/coherence

docs.oxfordsemantic.tech

Developer

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Oracle

Oxford Semantic Technologies

Initial release

2010

2007

2017

Current release

14.1, August 2023

6.0, Septermber 2022

License

Commercial or Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Erlang

Java

C++

Server operating systems

hosted

All OS with a Java VM

Linux
macOS
Windows

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

APIs and other access methods

RESTful HTTP/JSON API

JCache
JPA
RESTful HTTP API

RESTful HTTP API
SPARQL 1.1

Supported programming languages

C#
Java
JavaScript
Objective-C
PHP
Ruby

.Net
C++
Java

C
Java

Server-side scripts

Stored procedures

View functions (Map-Reduce) in JavaScript

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes, with selectable consistency level

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

Eventual Consistency
Immediate Consistency

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

Foreign keys

Referential integrity

Transaction concepts

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

atomic operations within a document possible

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

yes

Durability

Support for making data persistent

yes

optionally

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

authentification to access the cache via certificates or http basic authentication

Roles, resources, and access types

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