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 workCollaborative SQL workspace and scheduled SQL reports
Collaborate on SQL. Deliver recurring reports. Keep execution close to the data.
Use DataPilot when shared query editing is not enough. Keep SQL reviewable with comments, versions, and variables, then turn trusted queries into scheduled SQL reports, CSV and Excel deliveries, and business-facing KPI views.
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 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.
See the workspaceCollaborative SQL workspace
Review queries with comments and version history, keep logic reusable, and connect it directly to report delivery.
Explore the workspaceScheduled SQL reports
Turn trusted queries into recurring reports with visible run history, CSV and Excel delivery, and private execution options.
Explore reportsPrivate network and on-prem execution
Keep execution close to protected databases without exposing raw access.
See private executionLooking 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.