Integrate Kusto Trender as TSI UI equivalent in Real-Time Hub

[fbcideas_migusr]

Azure TimeSeries Insights offers a unique UI experience for self-service no-code 'slicing-and-dicing' time series data via sliders and swimming lanes. It even offers advanced options like time-traveling through old and recent data to compare it via the swimming lanes.

Unfortunately, TSI will be deprecated very soon.

A migration path towards Azure Data Explorer is offered for the data and common UI tools.

for the special UI experience, a Kusto Trender UI library is offered but this means a special development team must be assembled to bring back that TSI experience on top of ADX data.

So, there is a unique opportunity for Microsoft Fabric to take away this complexity by offering a TSI-like historian experience on top of KQL databases.

If you want to have a no-code experience regarding digging into time-series data with an attractive UI so it acts like a historian, upvote this idea!

[fbcideas_migusr]

I would love to see this feature added.

[nishalit]

Kusto Trender is a library for the visual components as seen in Azure Time Series Insights.

There, Time series data can be 'sliced-and-diced' using sliders, swimming lanes, etc. so users without a data engineering background have a powerful UI to even time-travel between old and new data.

TSI will be deprecated soon and a migration path towards Azure Data Explorer is the logical choice. With the help of Kusto Trender, that TSI experience could be brought back into the customer platform. Still, this has to be designed and programmed by a development team.

This situation offers Microsoft Fabric a unique chance to integrate the beloved TSI UI experience and becoming the easiest migration path for TSI.

Please upvote if you want to have the TSI experience within Microsoft Fabric RTI!

[nishalit]

Eventhouse / KQL Database's new UX features a histogram that visualizes the ingestion and queries load of a database or a specific table. You can adjust the display based on different bins and periods. For more information on creating a KQL database, you can refer to the Microsoft Learn documentation