SQL Server to CSV export automation
Replace the scheduled script with a saved query, a job and a destination. The CSV lands in a folder, an email inbox or a bucket, and every run is on record.
SQL Server → CSV file
Modules. Everything bundle: Database, Transfer and Flow.
Edition. DataBridge Server for unattended schedules.
- Pushed files are CSV, TSV, JSON or JSON Lines. DataBridge does not write Excel (.xlsx) output from a job.
- A job carries a limited number of rows (the Pull:MaxRows setting). Send once fails rather than guess when a result is over it.
- A blank file name pattern gives a constant name, so each run replaces the previous file if it has not been picked up.
How it works.
Each step names the feature as it appears in the product.
- Step 1
Connection
Connect with a read-only login, with SQL or Windows authentication. Test confirms it works.
- Step 2
Saved query
Write the SELECT once, with @parameters if needed, and run it from the Query Workspace first.
- Step 3
Destination
Choose where the file goes: a local or network folder, an email address with the file attached, Azure Blob Storage, Amazon S3, an SFTP or FTP server or an HTTP endpoint.
- Step 4
Scheduled job
Execute query, then Push results with CSV, TSV, JSON or JSON Lines as the output format and a file name pattern with {date} or {datetime}.
- Step 5
Send once
For incremental feeds, Send once remembers delivered rows so each goes out one time.
Common questions.
Can DataBridge export SQL Server data to Excel?
Not as a job output. Jobs push CSV, TSV, JSON or JSON Lines. In the browser edition you can open an Excel file as input and download CSV.
Can the export include only new rows?
Yes. Use the Send once settings on the Execute query step, or write a query that filters on a date column with a parameter.
Related use cases and integrations.
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The free browser edition needs no sign-in and never uploads your files.