DBMS > Apache Jena - TDB vs. Drizzle vs. Kingbase vs. Transwarp StellarDB

System Properties Comparison Apache Jena - TDB vs. Drizzle vs. Kingbase vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

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

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

RDF store

Relational DBMS

Graph DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	3.62
Rank	#83	Overall
	#3	RDF stores

Score	0.50
Rank	#257	Overall
	#119	Relational DBMS

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

Website

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

www.kingbase.com.cn

www.transwarp.cn/en/product/stellardb

Technical documentation

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

Developer

Apache Software Foundation

originally developed by HP Labs

Drizzle project, originally started by Brian Aker

BeiJing KINGBASE Information technologies inc.

Transwarp

Initial release

2000

2008

1999

Current release

4.9.0, July 2023

7.2.4, September 2012

V8.0, August 2021

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

GNU GPL

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

C++

C and Java

Server operating systems

All OS with a Java VM

FreeBSD
Linux
OS X

Linux
Windows

Data scheme

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

with proprietary extensions

Standard with numerous extensions

SQL-like query language

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

JDBC

ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT

OpenCypher

Supported programming languages

Java

C
C++
Java
PHP

.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

via event handler

hooks for callbacks inside the server can be used.

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning (by range, list and hash) and vertical partitioning

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication
Source-replica replication

yes

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

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

User concepts

Access control

Access control via Jena Security

Pluggable authentication mechanisms

e.g. LDAP, HTTP

fine grained access rights according to SQL-standard

yes

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