SQL Server Analysis Services Release Notes
Last Updated: October 26, 2023
This document provides a summary of changes, new features, and important updates for various versions of SQL Server Analysis Services (SSAS).
SQL Server 2022 Analysis Services
Release Date: November 16, 2022
- Key Enhancements:
- Improved performance for large-scale tabular models.
- Enhanced security features for data access.
- New DAX functions for advanced analytics.
- Streamlined deployment and management with Azure Arc integration.
For detailed information, please refer to the official SQL Server 2022 documentation.
SQL Server 2019 Analysis Services
Release Date: January 21, 2019
- Key Enhancements:
- Introduction of the Tabular 1500 model, enabling compatibility level 1500.
- Performance optimizations for in-memory tabular models.
- Expanded DAX language support with new functions.
- Enhanced integration with Power BI and other Microsoft BI tools.
- Introduction of semi-additive measures.
Find more details in the SQL Server 2019 release notes.
SQL Server 2017 Analysis Services
Release Date: September 21, 2017
- Key Enhancements:
- Major overhaul of Analysis Services, with the introduction of Tabular models as a first-class citizen.
- Support for Linux and Docker deployments.
- New DAX functions and improvements to existing ones.
- Performance improvements in both Tabular and Multidimensional models.
Explore the SQL Server 2017 Analysis Services features.
Previous Versions
Release notes for earlier versions of SQL Server Analysis Services (e.g., SQL Server 2016, 2014, 2012) can be found in the MSDN Archive.
- SQL Server 2016 Analysis Services
- SQL Server 2014 Analysis Services
- SQL Server 2012 Analysis Services
Known Issues and Fixes
This section will be updated periodically with information on known issues and patches released for SQL Server Analysis Services.
SQL Server 2022 Cumulative Updates
For the latest fixes and updates for SQL Server 2022, please visit the Microsoft Update Catalog.
Common Issues
- Performance bottlenecks in complex queries.
- Issues related to memory management in large models.
- Connectivity problems with certain client applications.