DBMS > Microsoft SQL Server vs. MySQL

System Properties Comparison Microsoft SQL Server vs. MySQL

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Editorial information provided by DB-Engines

Name

Description

Microsofts relational DBMS

Widely used open source RDBMS

Primary database model

Relational DBMS

Relational DBMS info

Key/Value like access via memcached API

Secondary database models

Document store
Graph DBMS

Document store

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Trend Chart

Score	1037.64
Rank	#3	Overall
	#3	Relational DBMS

Score	1241.64
Rank	#2	Overall
	#2	Relational DBMS

Website

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

www.mysql.com

Technical documentation

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

dev.mysql.com/doc

Developer

Microsoft

Oracle

since 2010, originally MySQL AB, then Sun

Initial release

1989

1995

Current release

SQL Server 2019, November 2019

8.0.22, 2020

License

Commercial or Open Source

commercial info

restricted free version is available

Open Source info

GPL version 2. Commercial licenses with extended functionallity are available

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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Implementation language

C++

C and C++

Server operating systems

Linux
Windows

FreeBSD
Linux
OS X
Solaris
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support info

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

with proprietary extensions

APIs and other access methods

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

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

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

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 info

Stored procedures

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

yes

proprietary syntax

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

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

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

Replication methods info

Methods for redundantly storing data on multiple nodes

yes, but depending on the SQL-Server Edition

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys info

Referential integrity

yes

not for MyISAM storage engine

Transaction concepts info

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

ACID

not for MyISAM storage engine

Concurrency info

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

Durability info

Support for making data persistent

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts info

Access control

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept info

no user groups or roles

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