damodhar-admin opened a new issue, #37571: URL: https://github.com/apache/superset/issues/37571
### Bug description We are using Apache Superset connected to MSSQL and want to enable OLAP-style analytics (dimensions, measures, drill-downs) on live data, without dumping or materializing data into separate tables. Superset supports SQL-based reporting but lacks a native OLAP / semantic layer for governed metrics. We are exploring whether Cube.dev or Timbr.ai can act as a semantic layer between Superset and MSSQL. Can these tools define OLAP-style cubes on top of MSSQL tables/views and expose them to Superset via SQL, while keeping the data live and real-time? Any community experience or recommended approach would be appreciated. Thank you. ### Screenshots/recordings _No response_ ### Superset version master / latest-dev ### Python version 3.9 ### Node version 16 ### Browser Chrome ### Additional context _No response_ ### Checklist - [ ] I have searched Superset docs and Slack and didn't find a solution to my problem. - [ ] I have searched the GitHub issue tracker and didn't find a similar bug report. - [ ] I have checked Superset's logs for errors and if I found a relevant Python stacktrace, I included it here as text in the "additional context" section. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
