DBMS > openGauss vs. Postgres-XL vs. TiDB vs. Transwarp ArgoDB

System Properties Comparison openGauss vs. Postgres-XL vs. TiDB vs. Transwarp ArgoDB

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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

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Relational DBMS

Secondary database models

Document store
Spatial DBMS

Document store

Search engine

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

Score	0.96
Rank	#187	Overall
	#85	Relational DBMS

Score	0.33
Rank	#270	Overall
	#123	Relational DBMS

Score	3.58
Rank	#73	Overall
	#38	Relational DBMS

Score	0.00
Rank	#385	Overall
	#157	Relational DBMS

Website

gitee.com/opengauss
opengauss.org

www.postgres-xl.org

pingcap.com

www.transwarp.cn/en/product/argodb

Technical documentation

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

www.postgres-xl.org/documentation

docs.pingcap.com/tidb/stable

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

Developer

Huawei and openGauss community

PingCAP, Inc.

Transwarp

Initial release

2019

2014

since 2012, originally named StormDB

2016

Current release

3.0, March 2022

10 R1, October 2018

8.2.0, July 2024

License

Commercial or Open Source

Open Source

Mozilla public license

Open Source

Apache 2.0

commercial

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, C++, Java

Go, Rust

Server operating systems

Linux

Linux
macOS

Linux

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.

yes

XML type, but no XML query functionality

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL 2011

yes

distributed, parallel query execution

yes

APIs and other access methods

JDBC
ODBC

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy

Supported programming languages

C
C++
Java

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash)

horizontal partitioning

horizontal partitioning (by key range)

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

with TiSpark Connector

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

full support since version 6.6

Transaction concepts

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

ACID

MVCC

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

fine grained access rights according to SQL-standard

Fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

openGauss Open Source Community Officially Launch
1 July 2020, Huawei

Huawei commences 2024 ICT competition
10 October 2024, MyJoyOnline

Engineering Students from Thammasat Win 2 'Huawei ICT' Awards to Represent Thailand in Asia-Pacific Competition.
12 January 2024, มหาวิทยาลัยธรรมศาสตร์

Figure 6: Full TPC-C performance with scale factor of 500 warehouses...
14 January 2021, ResearchGate

Huawei launches six new products to bolster growth in cloud sector
25 April 2021, Global Times

provided by Google News

PingCAP Unveils Major TiDB Enhancements to Power Global Scale and AI-Driven Applications
22 April 2025, GlobeNewswire

Build a data lakehouse in a hybrid Environment using Amazon EMR Serverless, Apache DolphinScheduler, and TiDB
20 March 2025, Amazon Web Services

How TiDB is solving enterprise data challenges with scalability and speed
21 March 2025, YourStory.com

How TiDB User Day India 2025 Sparked Conversations on the Future of Databases
5 May 2025, CXOToday.com

“TiDB supports scaling to millions of queries per second”
2 April 2025, Open Source For You

provided by Google News

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