DataPilot

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An alternative to PopSQL for teams that need more than shared queries.

If your team needs collaborative SQL plus scheduled delivery, private execution, alerts, and operational control, DataPilot goes beyond the classic shared-editor model.

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

What DataPilot adds beyond shared SQL

Scheduled exports and recurring delivery

Turn trusted queries into CSV/XLSX deliveries on a repeatable schedule with run history and notifications.

Private network and on-prem execution

Run workloads near protected databases without exposing direct access to every user or tool.

Data checks and metric monitoring

Monitor important datasets and catch issues before they reach reporting and dashboards.

Governed business access

Give non-technical stakeholders access to trusted outputs (reports, alerts, KPI views) without SQL access.

AI-assisted schema documentation

Generate and apply metadata comments with schema-aware AI grounded in your real database structure.

Stronger operational workflows

Version history, variables, comments, and delivery loops that connect the workspace to repeatable outputs.

Scheduled exports Private execution For business teams

Collaborative SQL workspace

Work in a shared workspace where comments and version history stay attached to SQL. Teams keep context while iterating queries and preparing exports.

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Migration checklist

  1. Inventory your saved queries, schedules, and delivery channels.
  2. Recreate critical schedules in DataPilot with Run Now validation.
  3. Map notification channels for schedule completion alerts.
  4. Enable AI documentation on top schemas and apply reviewed DDL comments.
  5. Onboard teams with query comments, version history, and runbooks.
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