DBMS > Amazon Redshift vs. dBASE vs. Derby vs. OpenTenBase

System Properties Comparison Amazon Redshift vs. dBASE vs. Derby vs. OpenTenBase

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

An enterprise-level distributed HTAP open source database based on PostgreSQL

Primary database model

Relational DBMS

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Trend Chart

Score	16.88
Rank	#35	Overall
	#22	Relational DBMS

Score	9.70
Rank	#44	Overall
	#28	Relational DBMS

Score	4.60
Rank	#70	Overall
	#38	Relational DBMS

Score	0.08
Rank	#370	Overall
	#156	Relational DBMS

Website

aws.amazon.com/redshift

www.dbase.com

db.apache.org/derby

github.com/OpenTenBase/OpenTenBase
www.opentenbase.org

Technical documentation

docs.aws.amazon.com/redshift

www.dbase.com/support/knowledgebase

db.apache.org/derby/manuals/index.html

docs.opentenbase.org
docs.opentenbase.org/en

Developer

Amazon (based on PostgreSQL)

Asthon Tate

Apache Software Foundation

OpenAtom Foundation, previously Tencent

Initial release

2012

1979

1997

Current release

dBASE 2019, 2019

10.17.1.0, November 2023

2.5, January 2024

License

Commercial or Open Source

commercial

Open Source

Apache version 2

Open Source

BSD-3

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

hosted

DOS

dBase Classic
Windows

dBase Pro

All OS with a Java VM

Linux

Data scheme

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

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

yes

APIs and other access methods

JDBC
ODBC

none

The IDE can access other DBMS or ODBC-sources.

JDBC

Supported programming languages

All languages supporting JDBC/ODBC

dBase proprietary IDE

Java

C
Go
Java
PHP
Python

Server-side scripts

Stored procedures

user defined functions

in Python

The IDE can access stored procedures in other database systems.

Java Stored Procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

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

informational only, not enforced by the system

yes

Transaction concepts

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

ACID

not for dBase internal data, but IDE does support transactions when accessing external DBMS

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

Access rights for users and roles

fine grained access rights according to SQL-standard

Access rights for users, groups and roles according to SQL-standard

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