DBMS > Apache Cassandra vs. OushuDB vs. RDF4J

System Properties Comparison Apache Cassandra vs. OushuDB vs. RDF4J

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

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

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Wide column store

Relational DBMS

RDF store

Secondary database models

Vector DBMS

starting with release V5

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

Score	108.21
Rank	#11	Overall
	#1	Wide column stores

Score	0.00
Rank	#378	Overall
	#154	Relational DBMS

Score	0.69
Rank	#221	Overall
	#9	RDF stores

Website

cassandra.apache.org

www.oushu.com/product/oushuDB

rdf4j.org

Technical documentation

cassandra.apache.org/doc/latest

www.oushu.com/documentation

rdf4j.org/documentation

Developer

Apache Software Foundation

Apache top level project, originally developped by Facebook

Oushu

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2008

2004

Current release

5.0-rc1, July 2024

4.0.1, August 2020

License

Commercial or Open Source

Open Source

Apache version 2

commercial

Open Source

Eclipse Distribution License (EDL), v1.0.

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

BSD
Linux
OS X
Windows

Linux

Linux
OS X
Unix
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

restricted

only equality queries, not always the best performing solution

yes

SQL

Support of SQL

SQL-like SELECT, DML and DDL statements (CQL)

Full-featured ANSI SQL support

APIs and other access methods

Proprietary protocol

CQL (Cassandra Query Language, an SQL-like language)
Thrift

JDBC
ODBC

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

C
C++

Java
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Representation of geographical distribution of servers is possible

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Foreign keys

Referential integrity

Transaction concepts

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

Atomicity and isolation are supported for single operations

ACID

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

In-memory capabilities

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

User concepts

Access control

Access rights for users can be defined per object

Kerberos, SSL and role based access

More information provided by the system vendor

News

How Hybrid Search and Rerankers Solve the GenAI Accuracy Challenge
24 April 2025

Introduction to Webhooks in Langflow: A Step-by-Step Tutorial
24 April 2025

Building Graph-Based RAG Applications Just Got Easier
23 April 2025

Scale AI Agent Speed and Savings with Langflow and NVIDIA NeMo Microservices
23 April 2025

5 Days of Accuracy: A Recipe for AI That Gets It Right
22 April 2025

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Best practices for running Apache Cassandra with Amazon EBS
8 November 2024, Amazon Web Services (AWS)

New Apache Cassandra 5.0 gives open source NoSQL database a scalability and performance boost
6 September 2024, VentureBeat

Apache Cassandra survey highlights growing adoption for AI workloads
11 November 2024, Blocks and Files

Apache Cassandra introduces version 5.0 of open-source NoSQL database
9 September 2024, techzine.eu

Why Use a NoSQL Database for AI? There Are Many Great Reasons
8 April 2025, The New Stack

provided by Google News

SCALEUS-FD architecture and implementation technologies. At the file...
28 October 2021, ResearchGate

provided by Google News

Share this page