DBMS > 4D vs. Newts vs. openGauss

System Properties Comparison 4D vs. Newts vs. openGauss

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

Time Series DBMS based on Cassandra

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

Primary database model

Relational DBMS

Time Series DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	2.27
Rank	#112	Overall
	#54	Relational DBMS

Score	0.00
Rank	#388	Overall
	#40	Time Series DBMS

Score	1.15
Rank	#169	Overall
	#76	Relational DBMS

Website

www.4d.com

opennms.github.io/newts

gitee.com/opengauss
opengauss.org

Technical documentation

developer.4d.com

github.com/OpenNMS/newts/wiki

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

Developer

4D, Inc

OpenNMS Group

Huawei and openGauss community

Initial release

1984

2014

2019

Current release

v20, April 2023

3.0, March 2022

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

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

Java

C, C++, Java

Server operating systems

OS X
Windows

Linux
OS X
Windows

Linux

Data scheme

yes

schema-free

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

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

HTTP REST
Java API

JDBC
ODBC

Supported programming languages

4D proprietary IDE
PHP

Java

C
C++
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on Cassandra

horizontal partitioning (by range, list and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

selectable replication factor

based on Cassandra

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

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.

User concepts

Access control

Users and groups

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

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More resources

DB-Engines blog posts

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Recent citations in the news

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provided by Google News

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