# SQL Server
> Use the SQL Server replication guide when you need to read tables or queries from SQL Server and write the results to MotherDuck. The guide covers Python, pyodbc, SQL Server authentication, and loading dataframe results into MotherDuck.
## How it works with MotherDuck

1. Connect to SQL Server with the Microsoft ODBC driver and `pyodbc`.
2. Read a SQL Server table or query result into a dataframe.
3. Connect to MotherDuck from Python and persist the dataframe as a MotherDuck table.

## Related content

- [Replicating SQL Server tables to MotherDuck](/key-tasks/data-warehousing/replication/sql-server)
- [Loading data into MotherDuck](/key-tasks/loading-data-into-motherduck/)
- [MotherDuck authentication](/key-tasks/authenticating-and-connecting-to-motherduck/authenticating-to-motherduck)


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## Docs feedback

MotherDuck accepts optional user-submitted feedback about this page at `POST https://motherduck.com/docs/api/feedback/agent`.
For agents and automated tools, feedback submission should be user-confirmed before sending.

Payload:

```json
{
  "page_path": "/integrations/databases/sql-server/",
  "page_title": "SQL Server",
  "text": "<the user's feedback, max 2000 characters>",
  "source": "<optional identifier for your interface, for example 'claude.ai' or 'chatgpt'>"
}
```

`page_path` and `text` are required; `page_title` and `source` are optional. Responses: `200 {"feedback_id": "<uuid>"}`, `400` for malformed payloads, and `429` when rate-limited.