DBMS > Microsoft SQL Server vs. openGauss vs. OpenTenBase

System Properties Comparison Microsoft SQL Server vs. openGauss vs. OpenTenBase

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Editorial information provided by DB-Engines

Name

Description

Microsofts flagship relational DBMS

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

Primary database model

Relational DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS

Document store
Spatial DBMS

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

Score	786.87
Rank	#3	Overall
	#3	Relational DBMS

Score	1.01
Rank	#180	Overall
	#82	Relational DBMS

Score	0.00
Rank	#381	Overall
	#156	Relational DBMS

Website

www.microsoft.com/en-us/sql-server

gitee.com/opengauss
opengauss.org

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

Technical documentation

learn.microsoft.com/en-US/sql/sql-server

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

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

Developer

Microsoft

Huawei and openGauss community

OpenAtom Foundation, previously Tencent

Initial release

1989

2019

Current release

SQL Server 2022, November 2022

3.0, March 2022

2.5, January 2024

License

Commercial or Open Source

commercial

restricted free version is available

Open Source

BSD-3

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

C, C++, Java

Server operating systems

Linux
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

Secondary indexes

yes

SQL

Support of SQL

yes

ANSI SQL 2011

yes

APIs and other access methods

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

JDBC
ODBC

Supported programming languages

C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic

C
C++
Java

C
Go
Java
PHP
Python

Server-side scripts

Stored procedures

Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

tables can be distributed across several files (horizontal partitioning); sharding through federation

horizontal partitioning (by range, list and hash)

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes, but depending on the SQL-Server Edition

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.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

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

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Recent citations in the news

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27 January 2025, community.spiceworks.com

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6 January 2022, Global Times

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