DBMS > openGauss vs. OpenTenBase vs. TDSQL for MySQL

System Properties Comparison openGauss vs. OpenTenBase vs. TDSQL for MySQL

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Editorial information provided by DB-Engines

Name

Description

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

An enterprise-level distributed HTAP open source database based on PostgreSQL

A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.

Primary database model

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	1.05
Rank	#176	Overall
	#80	Relational DBMS

Score	0.00
Rank	#379	Overall
	#155	Relational DBMS

Score	0.96
Rank	#191	Overall
	#89	Relational DBMS

Website

gitee.com/opengauss
opengauss.org

github.com/OpenTenBase/OpenTenBase
www.opentenbase.org

www.tencentcloud.com/products/dcdb

Technical documentation

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

docs.opentenbase.org
docs.opentenbase.org/en

www.tencentcloud.com/document/product/1042

Developer

Huawei and openGauss community

OpenAtom Foundation, previously Tencent

Tencent

Initial release

2019

2013

Current release

3.0, March 2022

2.5, January 2024

License

Commercial or Open Source

Open Source

BSD-3

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C, C++, Java

Server operating systems

Linux

hosted

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL 2011

yes

APIs and other access methods

JDBC
ODBC

Supported programming languages

C
C++
Java

C
Go
Java
PHP
Python

C
C#
C++
Java
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash)

Sharding

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

Multi-source replication
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

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

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

Users with fine-grained authorization concept

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More resources

Recent citations in the news

openGauss Open Source Community Officially Launch
1 July 2020, Huawei

The openGauss powers database industry forward through innovation
6 January 2022, Global Times

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12 January 2024, tu.ac.th

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28 April 2021, Myrepublica

Diversified Computing: Open Innovation for Shared Success
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provided by Google News

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