DBMS > 4D vs. DataFS vs. Greenplum vs. SpatiaLite

System Properties Comparison 4D vs. DataFS vs. Greenplum vs. SpatiaLite

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database

A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.

Spatial extension of SQLite

Primary database model

Secondary database models

Graph DBMS

Document store
Spatial DBMS

Relational DBMS

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	0.09
Rank	#360	Overall
	#17	Object oriented DBMS

Score	8.08
Rank	#48	Overall
	#31	Relational DBMS

Score	1.63
Rank	#146	Overall
	#3	Spatial DBMS

Website

www.4d.com

newdatabase.com

greenplum.org

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

developer.4d.com

dev.mobiland.com/Overview.xsp

docs.greenplum.org

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

4D, Inc

Mobiland AG

Pivotal Software Inc.

Alessandro Furieri

Initial release

1984

2018

2005

2008

Current release

v20, April 2023

1.1.263, October 2022

7.0.0, September 2023

5.0.0, August 2020

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

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++

Server operating systems

OS X
Windows

Windows

Linux

server-less

Data scheme

yes

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

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

since Version 4.2

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

.NET Client API
Proprietary client DLL
WinRT client

JDBC
ODBC

Supported programming languages

4D proprietary IDE
PHP

.Net
C
C#
C++
VB.Net

C
Java
Perl
Python
R

Server-side scripts

Stored procedures

yes

Triggers

yes

no, except callback-events from server when changes happened

yes

Partitioning methods

Methods for storing different data on different nodes

none

Proprietary Sharding system

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

Windows-Profile

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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