Download SQL Server 2019 developer edition for free

Where to download the SQL Server 2019 developer edition? It’s the free edition and contains the full set of available features. It also provides a real option for evaluation for developments, tests and proof of concepts. Nevertheless, it is not for use in a production environment.

How to download the SQL Server 2019 developer edition for free?

First of all, let’s talk about the two free editions available. For these two options, no licence key is needed:

  • The Developer version provides testing and development in non production environments only without a paid licence.
  • The Express version comes in as the lightest version, dedicated for example to small servers and web. It allows installation and usage in Production environments.

Select the Developer version to have all the features, the link downloads an executable file to the machine named SQL2019-SSEI-Dev.exe.

Download the SQL Server 2019 Developer edition in English here on Microsoft website.

The main Azure and On-premises editions come with paying licences

However, the main SQL Server 2019 paying versions are the Azure one and the on-premises one.

The SQL Server 2019 on Azure uses the same database engine as the on-premises one. It allows reusability of the previously on-premises purchased licences.

The SQL Server 2019 on-premises download comes with a 180 day-trial for the Windows server (or client) version.

To conclude, let’s talk about the platforms. Install the 2019 version of Microsoft database on Windows server or in Azure Virtual Machines. It’s also available for Linux distributions as well as on Docker containers.

Check out the SQL Server Index section on how to manage indexes to improve database performance in T-SQL development.

Today the SQL Server suite of data engineering software is very popular amongst companies and have a lot of market shares. It’s definitely worth downloading SQL Server developer edition with Visual Studio and give a try to the features!

Visual Studio allows for example database development, data integration, machine learning. And also R language, Python, OLAP and in-memory cubes, Reporting with Power BI, etc.

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