DataPilot

Product

One platform for trusted data access, SQL workflows, and secure execution.

DataPilot helps teams operationalize trusted data. Analysts keep the workspace, scheduling, metadata, and execution controls. Business users get safer access to reports, alerts, exports, and governed outputs built on approved logic.

Start free See pricing For AI agents

Supported databases: PostgreSQL, SQL Server, MySQL, Amazon Redshift.

What DataPilot solves

  • Give non-technical stakeholders access to trusted outputs without broad raw database access
  • Keep collaborative SQL work reviewable, reusable, and schedulable
  • Deliver CSV/XLSX exports and recurring reports from approved queries
  • Run execution in cloud, on desktop, or inside private networks
  • Support AI workflows with a safer execution layer around company data
  • Monitor important datasets with data checks, alerts, and operational history
DataPilot product overview with governed data access and SQL workspace

Two product flows, clearly separated

This matters because the people who build data workflows are not always the same people who consume the results.

Business flow

Reports, alerts, exports, and governed answers

Use trusted logic prepared by engineering teams to give CEOs, COOs, PMs, and operations stakeholders safer access to the business data they need.

  • Business-facing outputs instead of raw query editing
  • Recurring reports and operational visibility
  • Safer access patterns around approved logic
  • Strong fit for executive review and weekly reporting workflows
Explore the executive use case

Analyst flow

Workspace, metadata, scheduling, and control

Analysts keep the tools they need to author, review, schedule, document, and monitor SQL workflows.

  • Collaborative SQL workspace
  • Metadata catalog and ERD exploration
  • Scheduled exports and notifications
  • Operational execution across cloud, desktop, and on-prem setups
See the workspace

Query workspace

Write, review, version, comment, and reuse SQL with a shared workflow.

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Scheduling and exports

Turn trusted queries into recurring deliveries across CSV, Excel, and operational run history.

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AI-assisted workflows

Use AI for schema-aware engineering workflows while keeping execution grounded in your real environment.

See AI workflows

Private execution

Keep workloads near protected databases with local and on-prem execution options.

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Security and control

A better layer between company data and AI tools

If teams are experimenting with AI plus direct database connectivity, DataPilot gives them a more operational path: query workflows, delivery loops, visibility, and safer execution patterns.

Explore the AI agent angle

For decision makers

A clearer path from data to action

Use DataPilot to operationalize reporting, recurring insight delivery, and governed business access instead of relying on ad-hoc database requests.

See the executive positioning