DBMS > Apache Jena - TDB vs. RDF4J vs. TerminusDB vs. VelocityDB

System Properties Comparison Apache Jena - TDB vs. RDF4J vs. TerminusDB vs. VelocityDB

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Editorial information provided by DB-Engines

Name

Description

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

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

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

Primary database model

RDF store

Graph DBMS

Graph DBMS
Object oriented DBMS

Secondary database models

Document store
RDF store

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

Score	2.91
Rank	#93	Overall
	#3	RDF stores

Score	0.72
Rank	#222	Overall
	#9	RDF stores

Score	0.19
Rank	#311	Overall
	#27	Graph DBMS

Score	0.00
Rank	#385	Overall
	#40	Graph DBMS
	#21	Object oriented DBMS

Website

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

rdf4j.org

terminusdb.com

velocitydb.com

Technical documentation

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

rdf4j.org/documentation

terminusdb.github.io/terminusdb/#

velocitydb.com/UserGuide

Developer

Apache Software Foundation

originally developed by HP Labs

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

DataChemist Ltd.

VelocityDB Inc

Initial release

2000

2004

2018

2011

Current release

4.9.0, July 2023

11.0.0, January 2023

7.x

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

Eclipse Distribution License (EDL), v1.0.

Open Source

GPL V3

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Prolog, Rust

Server operating systems

All OS with a Java VM

Linux
OS X
Unix
Windows

Linux

Any that supports .NET

Data scheme

yes

RDF Schemas

yes

RDF Schemas

yes

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

SQL-like query language (WOQL)

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

.Net

Supported programming languages

Java

Java
PHP
Python

JavaScript
Python

.Net

Server-side scripts

Stored procedures

yes

Triggers

yes

via event handler

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

none

Graph Partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

yes

in-memory journaling

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 control via Jena Security

Role-based access control

Based on Windows Authentication

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