DBMS > 4D vs. jBASE vs. PostGIS

System Properties Comparison 4D vs. jBASE vs. PostGIS

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

A robust multi-value DBMS comprising development tools and middleware

Spatial extension of PostgreSQL

Primary database model

Relational DBMS

Multivalue DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	2.68
Rank	#110	Overall
	#54	Relational DBMS

Score	1.43
Rank	#160	Overall
	#3	Multivalue DBMS

Score	23.90
Rank	#29	Overall
	#1	Spatial DBMS

Website

www.4d.com

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

postgis.net

Technical documentation

developer.4d.com

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

postgis.net/documentation

Developer

4D, Inc

Rocket Software (formerly Zumasys)

Initial release

1984

1991

2005

Current release

v20, April 2023

5.7

3.4.2, February 2024

License

Commercial or Open Source

commercial

Open Source

GPL v2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Server operating systems

OS X
Windows

AIX
Linux
Windows

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

SQL

Support of SQL

yes

close to SQL 92

Embedded SQL for jBASE in BASIC

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

Supported programming languages

4D proprietary IDE
PHP

.Net
Basic
Jabbascript
Java

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes

based on PostgreSQL

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

Users and groups

Access rights can be defined down to the item level

yes

based on PostgreSQL

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More resources

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