DBMS > GBase vs. HyperSQL vs. jBASE vs. Teradata

System Properties Comparison GBase vs. HyperSQL vs. jBASE vs. Teradata

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Editorial information provided by DB-Engines

Name

Description

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

A robust multi-value DBMS comprising development tools and middleware

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

Relational DBMS

Multivalue DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	1.11
Rank	#173	Overall
	#78	Relational DBMS

Score	3.14
Rank	#85	Overall
	#46	Relational DBMS

Score	1.36
Rank	#157	Overall
	#3	Multivalue DBMS

Score	41.47
Rank	#22	Overall
	#15	Relational DBMS

Website

www.gbase.cn

hsqldb.org

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

www.teradata.com

Technical documentation

hsqldb.org/web/hsqlDocsFrame.html

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

docs.teradata.com

Developer

General Data Technology Co., Ltd.

Rocket Software (formerly Zumasys)

Teradata

Initial release

2004

2001

1991

1984

Current release

GBase 8a, GBase 8s, GBase 8c

2.7.2, June 2023

5.7

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

commercial

Open Source

based on BSD license

commercial

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

C, Java, Python

Java

Server operating systems

Linux

All OS with a Java VM

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

AIX
Linux
Windows

hosted
Linux

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

optional

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

Join-index to prejoin tables, aggregate index, sparse index, hash index

SQL

Support of SQL

Standard with numerous extensions

yes

Embedded SQL for jBASE in BASIC

yes

SQL 2016 + extensions

APIs and other access methods

ADO.NET
C API
JDBC
ODBC

HTTP API

JDBC via HTTP
JDBC
ODBC

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB

Supported programming languages

All languages supporting JDBC/ODBC
Java

.Net
Basic
Jabbascript
Java

C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby

Server-side scripts

Stored procedures

user defined functions

Java, SQL

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

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

none

Sharding

Hashing

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

yes

Multi-source replication
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

yes

Transaction concepts

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

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

yes

fine grained access rights according to SQL-standard

Access rights can be defined down to the item level

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

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