DBMS > Apache Jena - TDB vs. Oracle Rdb vs. RisingWave vs. WakandaDB

System Properties Comparison Apache Jena - TDB vs. Oracle Rdb vs. RisingWave 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

A distributed RDBMS for stream processing, wire-compatible with PostgreSQL

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

Primary database model

RDF store

Relational DBMS

Object oriented DBMS

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

Score	2.91
Rank	#93	Overall
	#3	RDF stores

Score	1.04
Rank	#184	Overall
	#84	Relational DBMS

Score	0.61
Rank	#237	Overall
	#111	Relational DBMS

Score	0.03
Rank	#364	Overall
	#17	Object oriented DBMS

Website

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

www.oracle.com/database/technologies/related/rdb.html

www.risingwave.com/database

wakanda.github.io

Technical documentation

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

www.oracle.com/database/technologies/related/rdb-doc.html

docs.risingwave.com/docs/current/intro

wakanda.github.io/doc

Developer

Apache Software Foundation

originally developed by HP Labs

Oracle, originally developed by Digital Equipment Corporation (DEC)

RisingWave Labs

Wakanda SAS

Initial release

2000

1984

2022

2012

Current release

4.9.0, July 2023

7.4.1.1, 2021

1.2, September 2023

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

commercial

Open Source

Apache Version 2.0

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

Rust

C++, JavaScript

Server operating systems

All OS with a Java VM

HP Open VMS

Docker
Linux
macOS

Linux
OS X
Windows

Data scheme

yes

RDF Schemas

Flexible Schema (defined schema, partial schema, schema free)

yes

Typing

predefined data types such as float or date

yes

Standard SQL-types and JSON

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
PostgreSQL wire protocol

RESTful HTTP API

Supported programming languages

Java

Go
Java
JavaScript (Node.js)
Python

JavaScript

Server-side scripts

Stored procedures

yes

UDFs in Python or Java

yes

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

yes, on a single node

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.

yes

User concepts

Access control

Access control via Jena Security

Users and Roles

yes

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