DBMS > Apache Jena - TDB vs. OpenQM vs. OrigoDB vs. Transwarp StellarDB

System Properties Comparison Apache Jena - TDB vs. OpenQM vs. OrigoDB vs. Transwarp StellarDB

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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

QpenQM is a high-performance, self-tuning, multi-value DBMS

A fully ACID in-memory object graph database

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

RDF store

Multivalue DBMS

Document store
Object oriented DBMS

Graph DBMS

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

Score	2.91
Rank	#93	Overall
	#3	RDF stores

Score	0.28
Rank	#291	Overall
	#10	Multivalue DBMS

Score	0.00
Rank	#385	Overall
	#54	Document stores
	#21	Object oriented DBMS

Score	0.00
Rank	#385	Overall
	#40	Graph DBMS

Website

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

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-open-qm

origodb.com

www.transwarp.cn/en/product/stellardb

Technical documentation

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

origodb.com/docs

Developer

Apache Software Foundation

originally developed by HP Labs

Rocket Software, originally Martin Phillips

Robert Friberg et al

Transwarp

Initial release

2000

1993

2009

under the name LiveDB

Current release

4.9.0, July 2023

3.4-12

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

GPLv2, extended commercial license available

Open Source

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

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Linux
Windows

Data scheme

yes

RDF Schemas

yes

with some exceptions

yes

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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.

yes

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

.NET Client API
HTTP API
LINQ

OpenCypher

Supported programming languages

Java

.Net
Basic
C
Java
Objective C
PHP
Python

.Net

Server-side scripts

Stored procedures

yes

Triggers

yes

via event handler

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

none

yes

horizontal partitioning

client side managed; servers are not synchronized

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Source-replica replication

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

depending on model

Transaction concepts

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

ACID

TDB Transactions

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Write ahead log

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

Access rights can be defined down to the item level

Role based authorization

yes

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