DBMS > Apache Jena - TDB vs. CockroachDB vs. RDF4J vs. Ultipa

System Properties Comparison Apache Jena - TDB vs. CockroachDB vs. RDF4J vs. Ultipa

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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

CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.

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

High performance Graph DBMS supporting HTAP high availability cluster deployment

Primary database model

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

Score	3.62
Rank	#83	Overall
	#3	RDF stores

Score	5.73
Rank	#58	Overall
	#34	Relational DBMS

Score	0.74
Rank	#222	Overall
	#9	RDF stores

Score	0.19
Rank	#330	Overall
	#30	Graph DBMS

Website

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

www.cockroachlabs.com

rdf4j.org

www.ultipa.com

Technical documentation

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

www.cockroachlabs.com/docs

rdf4j.org/documentation

www.ultipa.com/document

Developer

Apache Software Foundation

originally developed by HP Labs

Cockroach Labs

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

Ultipa

Initial release

2000

2015

2004

2019

Current release

4.9.0, July 2023

24.1.0, May 2024

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

Apache 2.0, commercial license available

Open Source

Eclipse Distribution License (EDL), v1.0.

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

Server operating systems

All OS with a Java VM

Linux
macOS
Windows

Linux
OS X
Unix
Windows

Data scheme

yes

RDF Schemas

dynamic schema

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

yes, wire compatible with PostgreSQL

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

JDBC

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

RESTful HTTP API

Supported programming languages

Java

C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust

Java
PHP
Python

C++
Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning (by key range)

all tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFT

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication using RAFT

none

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

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 control via Jena Security

Role-based access control

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