DBMS > HyperSQL vs. Oracle Rdb vs. Transwarp KunDB

System Properties Comparison HyperSQL vs. Oracle Rdb vs. Transwarp KunDB

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Editorial information provided by DB-Engines

Name

Description

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle

Primary database model

Relational DBMS

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

Score	2.70
Rank	#92	Overall
	#49	Relational DBMS

Score	0.92
Rank	#190	Overall
	#88	Relational DBMS

Score	0.00
Rank	#382	Overall
	#155	Relational DBMS

Website

hsqldb.org

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

www.transwarp.cn/en/product/kundb

Technical documentation

hsqldb.org/web/hsqlDocsFrame.html

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

Developer

Oracle, originally developed by Digital Equipment Corporation (DEC)

Transwarp

Initial release

2001

1984

Current release

2.7.2, June 2023

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

based on BSD license

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

Embedded (into Java applications) and Client-Server operating modes

HP Open VMS

Data scheme

yes

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

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.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

HTTP API

JDBC via HTTP
JDBC
ODBC

Supported programming languages

All languages supporting JDBC/ODBC
Java

Server-side scripts

Stored procedures

Java, SQL

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

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

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

fine grained access rights according to SQL-standard

yes

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