DBMS > 4D vs. Galaxybase vs. Greenplum vs. MaxDB vs. Yanza

System Properties Comparison 4D vs. Galaxybase vs. Greenplum vs. MaxDB vs. Yanza

Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

Application development environment with integrated database management system

Scalable, ACID-compliant native distributed parallel graph platform

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.

A robust and reliable RDBMS optimized to run all major SAP solutions

Time Series DBMS for IoT Applications

Primary database model

Secondary database models

Document store
Spatial DBMS

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	0.07
Rank	#377	Overall
	#40	Graph DBMS

Score	8.08
Rank	#48	Overall
	#31	Relational DBMS

Score	2.26
Rank	#114	Overall
	#55	Relational DBMS

Website

yanza.com

Technical documentation

developer.4d.com

docs.greenplum.org

maxdb.sap.com/documentation

Developer

4D, Inc

Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司

Pivotal Software Inc.

SAP, acquired from Software AG (Adabas-D) in 1997

Yanza

Initial release

1984

2017

2005

1984

2015

Current release

v20, April 2023

Nov 20, November 2021

7.0.0, September 2023

7.9.10.12, February 2024

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

commercial

Limited community edition free

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C and Java

C++

Server operating systems

OS X
Windows

Linux

AIX
HP-UX
Linux
Solaris
Windows

Windows

Data scheme

yes

Strong typed schema

yes

schema-free

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

Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API

JDBC
ODBC

ADO.NET
JDBC
ODBC
WebDAV

HTTP API

Supported programming languages

4D proprietary IDE
PHP

Go
Java
Python

C
Java
Perl
Python
R

.Net
C#
Java
Perl
PHP
Python

any language that supports HTTP calls

Server-side scripts

Stored procedures

yes

user defined procedures and functions

yes

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

none

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

Relationships in graphs

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

Role-based access control

fine grained access rights according to SQL-standard

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More resources

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