DBMS > Apache Jena - TDB vs. Netezza vs. STSdb vs. WakandaDB

System Properties Comparison Apache Jena - TDB vs. Netezza vs. STSdb vs. WakandaDB

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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

Data warehouse and analytics appliance part of IBM PureSystems

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

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	8.59
Rank	#45	Overall
	#29	Relational DBMS

Score	0.10
Rank	#357	Overall
	#51	Key-value stores

Score	0.10
Rank	#356	Overall
	#17	Object oriented DBMS

Website

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

www.ibm.com/products/netezza

github.com/STSSoft/STSdb4

wakanda.github.io

Technical documentation

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

wakanda.github.io/doc

Developer

Apache Software Foundation

originally developed by HP Labs

IBM

STS Soft SC

Wakanda SAS

Initial release

2000

2011

2012

Current release

4.9.0, July 2023

4.0.8, September 2015

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

commercial

Open Source

GPLv2, commercial license available

Open Source

AGPLv3, extended commercial license available

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

C++, JavaScript

Server operating systems

All OS with a Java VM

Linux

included in appliance

Windows

Linux
OS X
Windows

Data scheme

yes

RDF Schemas

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

JDBC
ODBC
OLE DB

.NET Client API

RESTful HTTP API

Supported programming languages

Java

C
C++
Fortran
Java
Lua
Perl
Python
R

C#
Java

JavaScript

Server-side scripts

Stored procedures

yes

Triggers

yes

via event handler

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

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

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

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

Users with fine-grained authorization concept

yes

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More resources

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