This article is part of the series on How To Install Microsoft SQL Server 2022; I do not claim to be an expert on SQL Server and this series is installing SQL Server in a development/testing/demo environment. If you’re installing SQL into a production environment there will be additional work required to harden the SQL Server and avoid security issues.
In this series, I will be installing the Developer edition of Microsoft SQL Server 2022; there are eight features available to SQL Server, of which I will be installing four (the feature name is italicised):
| Feature | Description |
|---|---|
| SQL Server Database Engine | SQL Server Database Engine includes the Database Engine, the core service for storing, processing, and securing data, replication, full-text search, tools for managing relational and XML data, in database analytics integration, and PolyBase integration for access to heterogeneous data sources, and Machine Learning Services to run Python and R scripts with relational data. |
| Analysis Services | Analysis Services includes the tools for creating and managing online analytical processing (OLAP) and data mining applications. |
| Reporting Services | Reporting Services includes server and client components for creating, managing, and deploying tabular, matrix, graphical, and free-form reports. Reporting Services is also an extensible platform that you can use to develop report applications. |
| Integration Services | Integration Services is a set of graphical tools and programmable objects for moving, copying, and transforming data. It also includes the Data Quality Services (DQS) component for Integration Services. |
| Master Data Services | Master Data Services (MDS) is the SQL Server solution for master data management. MDS can be configured to manage any domain (products, customers, accounts) and includes hierarchies, granular security, transactions, data versioning, and business rules, as well as an Add-in for Excel that can be used to manage data. |
| Machine Learning Services (In-Database) | Machine Learning Services (In-Database) supports distributed, scalable machine learning solutions using enterprise data sources. In SQL Server 2016, the R language was supported. SQL Server 2022 (16.x) supports R and Python. |
| Data Virtualization with PolyBase | Query different types of data on different types of data sources from SQL Server. |
| Azure connected services | SQL Server 2022 (16.x) extends Azure connected services and features including Azure Synapse Link, Microsoft Purview access policies, Azure extension for SQL Server, pay-as-you-go billing, and the link feature for SQL Managed Instance. |
Full details of the features and functionality of SQL Server 2022 can be found here.
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