GitHub user damodhar-admin created a discussion: Can Cube.dev or Timbr.ai provide an OLAP layer for Superset on MSSQL?
### 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. GitHub link: https://github.com/apache/superset/discussions/37750 ---- This is an automatically sent email for [email protected]. To unsubscribe, please send an email to: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
