DataPilot

Trusted business answers and SQL workflows

Turn approved SQL into KPI answers, recurring reports, and private data execution.

DataPilot gives analysts one operating layer for collaborative SQL, scheduling, metadata, and delivery. Business teams get trusted KPI answers, recurring reports, and follow-up operational workflows built on approved logic instead of raw database access.

Start free For executives Business KPIs See the product

Two flows, one platform

Built for both business users and engineering teams

Engineers keep control and operational visibility. Business teams get trusted answers without ever touching SQL.

For executives and business teams

Trusted KPI answers without living in SQL

Open DataPilot and see trusted KPI cards immediately. Ask follow-up questions in plain language and get answers built on approved metric logic.

See how Business KPIs work

For engineers and analysts

Collaborative SQL workspace, scheduling, and delivery

Keep the collaborative SQL workspace, metadata catalog, AI-assisted documentation, scheduled exports, and private execution controls in one operating layer.

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Collaborative SQL workspace

Write, review, comment, and version trusted SQL before it becomes a report, export, or KPI.

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Scheduled exports and reports

Deliver CSV and Excel outputs from trusted queries on a repeatable schedule with run history.

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Private network and on-prem execution

Keep execution close to protected databases without exposing raw access.

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Looking for a collaborative SQL editor replacement? See why teams compare DataPilot vs PopSQL.

Frequently asked questions

Is DataPilot only for SQL users?

No. Analysts build and control the workflows; the rest of the team consumes trusted outputs like reports, alerts, and exports.

Why not just connect an AI tool directly to the database?

Because query generation is only part of the problem. Teams also need controlled execution, access boundaries, repeatable delivery, and operational visibility.

Does DataPilot support private network execution?

Yes. Teams can use cloud, desktop, and on-prem execution patterns depending on where data can safely be accessed.