DataPilot - Collaborative SQL for scheduling, exports, and data checks
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DataPilot is a collaborative SQL workspace for data teams; reliable execution, clear ownership, and production-safe workflows. Built for clean handoffs with history and repeatable runs.
• Save & share queries with variables, comments, history
• Schedule one-shot/recurring runs + exports (CSV/XLSX)
• Track data quality/metrics, alerts, and audit trails
• Run SQL via cloud, desktop, or on-prem workers
• AI in-context schema documentation in your catalog
Ship SQL work you can trust, every day.
Replies
Hi Product Hunt!
I built DataPilot after spending the last two years deep inside a data team.
I kept seeing the same friction repeatedly:
queries were hard to share and maintain across teammates,
variable-driven queries were inconsistent,
schema understanding (ERD + comments) was fragmented,
data checks lived outside daily workflow,
scheduling and delivery were spread across too many tools.
DataPilot is my attempt to solve this in one practical workspace.
What it does today:
collaborative SQL workspace (comments, history, variables)
scheduling and one-shot runs
CSV/XLSX export delivery workflows
data quality and metric monitoring with alerts
secure execution modes (cloud, desktop, on-prem)
AI support for schema documentation and query assistance
Workflow automation is currently in active development.
If you try it, I would love direct feedback on what feels useful vs what still feels heavy.
I will be here all day replying to every comment.
Thank you for checking it out.
Quick practical example for anyone evaluating DataPilot:
connect one database, save 3 shared queries, schedule one recurring run, and add one monitor/check.
That gives a realistic view of collaboration + operational reliability in a few minutes.
Happy to answer specific workflow questions.