Microsoft retired Azure Data Studio on February 28, 2026. If you used it for SQL Server, Microsoft's own path is VS Code with the MSSQL extension. If you used it across other engines too, that path is narrower than it looks.
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Quick answer: Azure Data Studio was retired by Microsoft on February 28, 2026, and no longer receives updates or security fixes. Microsoft's official recommendation is Visual Studio Code with the MSSQL extension for SQL Server and Azure SQL work. QueryFlow doesn't connect to SQL Server at all, so it isn't a fit for that core use case; it's a fit for the adjacent case of a Mac user who leaned on Azure Data Studio's Postgres or MySQL extensions and wants a native app with an AI assistant and ETL built in, not another extension inside an editor.
Microsoft retired Azure Data Studio on February 28, 2026. The tool no longer receives updates, security fixes, or maintenance. Microsoft's stated reason is consolidation: rather than maintaining two SQL tools, Microsoft is putting its investment into Visual Studio Code with the MSSQL extension, plus SQL Server Management Studio (SSMS) for full database administration. If you open Azure Data Studio today, it still runs, but it's a dead end going forward.
If SQL Server or Azure SQL is your primary engine, Microsoft's own recommendation is the right one to follow, not QueryFlow. VS Code with the MSSQL extension opens your existing scripts and projects without conversion, runs on Mac, Windows, and Linux, and Microsoft is actively investing in it. QueryFlow doesn't connect to SQL Server or Azure SQL at all, it isn't a substitute for that migration path, and pretending otherwise would be the wrong advice.
Azure Data Studio, like many multi-engine tools, was also used by some Mac-based teams for Postgres and MySQL through its extension ecosystem, not just SQL Server. For that group, VS Code's replacement path is a separate PostgreSQL extension, and MySQL's replacement extension is, per Microsoft's own migration guidance, still pending an announcement as of the retirement. If your actual daily use of Azure Data Studio was Postgres, MySQL, Snowflake, BigQuery, Databricks, or Redshift rather than SQL Server, you were already outside the tool's core purpose, and a dedicated native app for those engines is a more direct replacement than an editor extension built primarily for Microsoft's own database.
| VS Code + MSSQL extension | QueryFlow | |
|---|---|---|
| SQL Server / Azure SQL | Yes, Microsoft's own path | Not supported |
| Postgres, MySQL | Via separate extensions | Native connections |
| Snowflake, BigQuery, Databricks, Redshift | Not covered | Native connections |
| Scheduled jobs / ETL | No | Yes (Pipelines tier) |
| Built-in AI assistant | Assistant features per Microsoft's migration notes | Yes, Ask panel, bring your own key |
| Cost | Free | $9.99-$29.99/mo |
| Actively maintained | Yes | Yes |
Whether you move to VS Code or to QueryFlow, Azure Data Studio's saved connections and settings don't carry over automatically to either destination in the general case, you're re-adding connections by hand regardless of which tool you pick. In QueryFlow, that means pointing each connection at its host, entering credentials once (stored afterward in the macOS Keychain), and confirming a test connection succeeds before relying on it for real work.
Azure Data Studio wasn't a niche tool. It shipped as Microsoft's cross-platform successor to SQL Server Management Studio specifically so Mac and Linux users had a first-party option at all. Its retirement leaves a real gap for anyone who chose it for that cross-platform reach rather than for SQL Server itself, since the tools Microsoft points to as replacements (VS Code's MSSQL extension, SSMS) are either narrower in scope or, in SSMS's case, Windows-only. A Mac user whose actual daily work is Postgres or a cloud warehouse was already stretching Azure Data Studio past its intended use; this retirement is a reasonable prompt to pick a tool built for those engines specifically, rather than waiting to see how thin the SQL Server-focused replacements end up outside their core case.
A team that queried Postgres through Azure Data Studio's Postgres extension reconnects the same way in QueryFlow: add the connection with host, port, database, and credentials, and the SQL editor and schema explorer work the same shape as before. The gain isn't just parity, it's what Azure Data Studio's Postgres extension never had: scheduling a query to run every morning, watching a result for a change, and an AI Ask panel that writes a starting query against your real schema when you'd rather describe what you want than write the join yourself.
A mixed team, some people on SQL Server, others on Postgres or a cloud warehouse, doesn't need to standardize on one replacement. The SQL Server side follows Microsoft's own migration path to VS Code or SSMS; the Postgres, MySQL, or warehouse side can move to a native tool built for those engines specifically. Forcing everyone onto the same replacement just because Azure Data Studio used to cover both isn't a requirement, and it usually isn't the best fit for either group.
It still runs, but it no longer receives updates or security fixes as of its February 28, 2026 retirement, so relying on it going forward carries growing risk.
If SQL Server or Azure SQL is your main engine, follow Microsoft's own guidance to VS Code with the MSSQL extension. If your actual daily engines are Postgres, MySQL, or a cloud warehouse, QueryFlow is the more direct native replacement.
No. QueryFlow's connections are Snowflake, Redshift, Postgres, MySQL, BigQuery, Databricks, Salesforce, Google Sheets, and CSV/Excel files. SQL Server isn't on that list.
No. There's no import path from Azure Data Studio's saved connections. Each one gets re-added by hand, the same as moving to VS Code would require.
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