Last updated: 2026-07-08
Kusto / KQL Support
Jam SQL Studio doesn't connect to Kusto clusters yet — but Azure Data Explorer is a first-class target on our roadmap, and your Kusto connections are already recognised when you migrate from Azure Data Studio.
What is Kusto / KQL?
Kusto is the engine behind Azure Data Explorer (ADX), Microsoft's service for fast, interactive analytics over large volumes of log, event, and telemetry data. You query it with KQL (Kusto Query Language), a read-focused, pipe-based language distinct from SQL. Azure Data Studio shipped a Kusto extension, so many teams that used ADS also have saved Azure Data Explorer connections.
What we're planning
The exact scope will firm up as we build it, but the direction is:
- Connect to Azure Data Explorer clusters — add a Kusto connection with the auth methods teams already use for ADX.
- Browse clusters, databases, and tables in the object explorer, alongside your SQL connections.
- Run KQL in the query editor and see results in the same grid, with export and charting.
- Carry over Kusto connections from Azure Data Studio during import, so migrating stays one click.
We'll expand this page with concrete instructions and screenshots once the feature lands.
What happens with Kusto connections today
When you import your connections from Azure Data Studio, any profiles that used the Kusto provider are detected and listed in the review dialog with a coming soon badge, rather than being silently dropped. They can't be imported or connected to yet — the badge is there so you know they were seen and that support is on the way. Your SQL Server and PostgreSQL connections import as normal in the same pass.
Frequently asked questions
Does Jam SQL Studio support Kusto / KQL today?
Not yet. Kusto support is planned. Today, Azure Data Studio connections that used the Kusto provider are detected during import and listed with a coming soon badge instead of being dropped, so you don't lose track of them.
What is Kusto and KQL?
Kusto is the engine behind Azure Data Explorer (ADX), a Microsoft service for fast queries over large volumes of log and telemetry data. KQL (Kusto Query Language) is its read-focused query language. Azure Data Studio shipped a Kusto provider, which is why ADX connections show up when you migrate from Azure Data Studio.
Which databases does Jam SQL Studio support right now?
SQL Server, PostgreSQL, MySQL/MariaDB, Oracle, and SQLite — all with IntelliSense, Table Explorer, Schema Compare, Data Compare, and the rest of the toolset. See Connections to get started.
Try Jam SQL Studio Today
Download the latest version and stay up to date as Kusto and other engines land.