Can Cube.dev or Timbr.ai provide an OLAP layer for Superset on MSSQL? #37571
Description
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.