Last updated: 2026-07-08

Next Up

Here's what we're working on for the next release of Jam SQL Studio.

Want to influence priorities? Let us know which features matter most to you. Click the ? button in the app toolbar to send us feedback, or email [email protected].

Recently Shipped

These features have landed in recent releases:

Oracle Support — Full Oracle Database support with IntelliSense, Table Explorer, Schema Compare, Data Compare, and all existing tools
Command Palette — Quick access to all app actions via a searchable command palette (Ctrl+Shift+P / Cmd+Shift+P)
Multi-Engine DBA Tools — Session Browser, Performance Dashboard, Tablespace Manager (Oracle), and Filegroup Manager (SQL Server) for monitoring and managing databases across Oracle, SQL Server, PostgreSQL, and MySQL
SQL Notebooks — Jupyter-style notebooks combining executable SQL and JavaScript cells with Markdown documentation, saved as standard .ipynb files
AI Chat — Native AI chat panel powered by your locally installed Claude CLI with full MCP database access, streaming responses, and multi-turn conversations
MySQL & MariaDB Support — First-class support for MySQL 5.7+/8.x and MariaDB 10.x/11.x with IntelliSense, Table Explorer, Schema Compare, Data Compare, and all existing tools
Script Management — Scripts panel with recent/pinned scripts, mounted folders, and quick open
Transaction Management — Manual transactions with commit/rollback, auto-commit toggle, visual indicators, and safety warnings

Kusto / KQL (Azure Data Explorer)

Azure Data Studio shipped a Kusto (KQL) provider for querying Azure Data Explorer. Jam SQL Studio doesn't connect to Kusto clusters yet, but it's on the roadmap — and it's why, when you import your Azure Data Studio connections, any Kusto profiles are detected and listed with a coming soon badge rather than being dropped. Read more on the Kusto / KQL support page.

PostGIS Support

For PostgreSQL users working with spatial data, we're adding PostGIS-aware features:

Geometry viewer — visualize geometry and geography columns on an interactive map
Spatial data types — proper display and editing of PostGIS types (POINT, LINESTRING, POLYGON, etc.)
Query result maps — see spatial query results rendered on a map alongside the data grid

Frequently asked questions

Will Jam SQL Studio support Kusto / KQL (Azure Data Explorer)?

Kusto (KQL / Azure Data Explorer) support is planned. Azure Data Studio connections that used the Kusto provider are already detected during import and shown as coming soon; connecting, browsing clusters, and running KQL will follow in a future release. See the Kusto / KQL support page.

Will Jam SQL Studio support PostGIS?

PostGIS support is planned. This will include viewing geometry columns on a map, spatial query helpers, and support for common PostGIS data types.

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