DBMS > 4D vs. openGauss vs. Oracle Coherence

System Properties Comparison 4D vs. openGauss vs. Oracle Coherence

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei

Oracles in-memory data grid solution

Primary database model

Relational DBMS

Key-value store

Secondary database models

Document store
Spatial DBMS

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

Score	2.58
Rank	#108	Overall
	#54	Relational DBMS

Score	1.08
Rank	#183	Overall
	#84	Relational DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Website

www.4d.com

gitee.com/opengauss
opengauss.org

www.oracle.com/java/coherence

Technical documentation

developer.4d.com

docs.opengauss.org/en
gitee.com/opengauss/docs

docs.oracle.com/en/middleware/standalone/coherence

Developer

4D, Inc

Huawei and openGauss community

Oracle

Initial release

1984

2019

2007

Current release

v20, April 2023

3.0, March 2022

14.1, August 2023

License

Commercial or Open Source

commercial

Open Source

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C, C++, Java

Java

Server operating systems

OS X
Windows

Linux

All OS with a Java VM

Data scheme

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

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

ANSI SQL 2011

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JDBC
ODBC

JCache
JPA
RESTful HTTP API

Supported programming languages

4D proprietary IDE
PHP

C
C++
Java

.Net
C++
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning (by range, list and hash)

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Source-replica replication

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

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 for users, groups and roles according to SQL-standard

authentification to access the cache via certificates or http basic authentication

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