DBMS > Apache Jena - TDB vs. FatDB vs. HyperSQL vs. RDF4J

System Properties Comparison Apache Jena - TDB vs. FatDB vs. HyperSQL vs. RDF4J

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Editorial information provided by DB-Engines

Name

FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.

Description

A RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena framework

A .NET NoSQL DBMS that can integrate with and extend SQL Server.

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

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

Primary database model

RDF store

Document store
Key-value store

Relational DBMS

RDF store

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

Score	3.62
Rank	#83	Overall
	#3	RDF stores

Score	3.23
Rank	#93	Overall
	#48	Relational DBMS

Score	0.74
Rank	#222	Overall
	#9	RDF stores

Website

jena.apache.org/documentation/tdb/index.html

hsqldb.org

rdf4j.org

Technical documentation

jena.apache.org/documentation/tdb/index.html

hsqldb.org/web/hsqlDocsFrame.html

rdf4j.org/documentation

Developer

Apache Software Foundation

originally developed by HP Labs

FatCloud

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

Initial release

2000

2012

2001

2004

Current release

4.9.0, July 2023

2.7.2, June 2023

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

commercial

Open Source

based on BSD license

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

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Implementation language

Java

Server operating systems

All OS with a Java VM

Windows

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

Linux
OS X
Unix
Windows

Data scheme

yes

RDF Schemas

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

Via inetgration in SQL Server

yes

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings

HTTP API

JDBC via HTTP
JDBC
ODBC

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

Java

All languages supporting JDBC/ODBC
Java

Java
PHP
Python

Server-side scripts

Stored procedures

yes

via applications

Java, SQL

yes

Triggers

yes

via event handler

yes

via applications

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

none

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

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

TDB Transactions

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.

yes

User concepts

Access control

Access control via Jena Security

Can implement custom security layer via applications

fine grained access rights according to SQL-standard

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