Automated delivery for SQL

Q: What is automated delivery for SQL

It is a workflow that makes SQL runs reproducible and deliverable. The goal is traceability and reliable outputs: schedule the run, store the file, notify, and download.

Q: How do exports work in DataPilot

Exports follow one loop: Export → ScheduleRun → File storage → Notification → Download. You can export as CSV or XLSX; XLSX uses streaming for low memory usage.

Q: Can DataPilot run inside protected networks

DataPilot supports different execution paths. Use cloud mode when the database is reachable from the cloud, or desktop/on-prem execution paths when it isn’t.

Automating SQL is not just “running a query”. It’s making results reproducible and deliverable. DataPilot standardizes the loop from SQL to a downloadable file: Export → ScheduleRun → File storage → Notification → Download.

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Why it matters

Teams lose time not because SQL is hard, but because delivery is inconsistent: someone ran it, exported it, emailed it, and nobody can trace what happened or retrieve the file later. A scheduling-first workflow fixes this by making every run an auditable record with a stored output and a notification.

How DataPilot automates the flow

Connect to your database and work with least-privilege access. Browse schemas and preview tables to stay close to the source.
Create and refine SQL in a shared workspace. Keep collaboration safe with permissions and a clear history of changes.
Run using the right execution path: cloud mode when the database is reachable from the cloud, or desktop/on-prem execution paths when it isn’t.
Export query results as CSV or XLSX. XLSX uses streaming (low memory) so large exports stay reliable.
Schedule every run through the same pipeline. One-shot “run now” and recurring schedules both produce a run record.
Deliver via a stored file and a notification, so the download is always recoverable and visible in the product.

What you can rely on in Beta

Collaborative SQL workspace with saved queries
Query history with restore (safer iteration over time)
Team permissions to reduce accidental edits and confusion
Export results to CSV
Export results to XLSX using streaming (low memory)
Scheduling-first delivery loop: stored output + in-app notification + download
Multi-host execution paths (cloud and desktop/on-prem)

Security in short

Your data stays in your database. DataPilot focuses on executing queries, exporting results, and managing metadata and run records so teams can collaborate and deliver reliably.

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When to use ETL or a workflow tool

Use ETL for heavy transformations and large-scale data movement. Use workflow automation for cross-app event pipelines. Choose DataPilot when the center of gravity is SQL and the problem is repeatable delivery: run tracking, reliable exports, and secure execution paths.

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Collaboration, history, permissions, exports, and delivery.

Simple pricing

Free to start and a Pro plan for teams.

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