DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. openGauss vs. OpenQM

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. openGauss vs. OpenQM

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Editorial information provided by DB-Engines

Name

Description

An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum

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

QpenQM is a high-performance, self-tuning, multi-value DBMS

Primary database model

Relational DBMS

Multivalue DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	0.39
Rank	#294	Overall
	#135	Relational DBMS

Score	1.19
Rank	#196	Overall
	#94	Relational DBMS

Score	0.58
Rank	#262	Overall
	#10	Multivalue DBMS

Website

www.alibabacloud.com/product/hybriddb-postgresql

gitee.com/opengauss
opengauss.org

www.openqm.com

Technical documentation

www.alibabacloud.com/help/doc-detail/35387.htm

gitee.com/opengauss/docs
opengauss.org/en/docs/latest/docs/BriefTutorial/BriefTutorial.html

www.openqm.com/support/documentation

Developer

Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group

Huawei and openGauss community

Martin Phillips

Initial release

2016

2019

1993

Current release

3.0, March 2022

3.4-12

License

Commercial or Open Source

commercial

Open Source

GPLv2, extended commercial license available

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

hosted

Linux

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Data scheme

yes

with some exceptions

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

ANSI SQL 2011

APIs and other access methods

JDBC
ODBC

Supported programming languages

C
Java
Perl
Python
R

C
C++
Java

.Net
Basic
C
Java
Objective C
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

horizontal partitioning (by range, list and hash)

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Source-replica replication

yes

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

fine grained access rights according to SQL-standard

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

Access rights can be defined down to the item level

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