DBMS > Alibaba Cloud ApsaraDB for PolarDB vs. Brytlyt vs. openGauss

System Properties Comparison Alibaba Cloud ApsaraDB for PolarDB vs. Brytlyt vs. openGauss

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Editorial information provided by DB-Engines

Name

Description

A cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.

Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL

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

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	0.33
Rank	#318	Overall
	#143	Relational DBMS

Score	0.51
Rank	#276	Overall
	#129	Relational DBMS

Score	1.31
Rank	#188	Overall
	#94	Relational DBMS

Website

www.alibabacloud.com/product/polardb

www.brytlyt.com

gitee.com/opengauss
opengauss.org

Technical documentation

www.alibabacloud.com/help/doc-detail/58764.htm

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

Developer

Alibaba

Brytlyt

Huawei and openGauss community

Initial release

2016

2019

Current release

0.9, October 2016

3.0, March 2022

License

Commercial or Open Source

commercial

Open Source

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++ and CUDA

C, C++, Java

Server operating systems

hosted

Linux
OS X
Windows

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

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

SQL

Support of SQL

yes

ANSI SQL 2011

APIs and other access methods

JDBC
ODBC

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

JDBC
ODBC

Supported programming languages

Java
Python

.Net
C
C++
Delphi
Java
Perl
Python
Tcl

C
C++
Java

Server-side scripts

Stored procedures

yes

user defined functions

in PL/pgSQL

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)

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

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.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

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

More information provided by the system vendor

Specific characteristics

ApsaraDB for PolarDB is a cloud-native relational database 100% compatible with MySQL...
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Competitive advantages

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Typical application scenarios

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Licensing and pricing models

Specification and pricing. You can use either of the following billing methods to...
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