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AI SQL explorer for faster answers

Ask questions in plain language and review the generated SQL with full control. Suggestions use schema context so you stay close to the source.

AI SQL explorer is coming soon. You can start with documentation today.

Analysts and product teams

Move from idea to query in minutes. Keep reusable templates with parameters for common questions.

Engineers and DBAs

Stay in control of SQL. Review every statement and keep the history for audits and learning.

Consultants

Deliver answers without heavy suites. Share clear exports and keep notes close to the query.

Natural language to SQL with preview

How AI SQL explorer will work

  1. 1 Connect your database with a read only role. Browse schemas and sample a few rows with safe limits.
  2. 2 Ask in plain language. The system proposes SQL with join paths and column hints based on your schema.
  3. 3 Review and edit the SQL. See an execution preview with limits before you run it in your database.
  4. 4 Save a template with parameters and notes. Share exports when needed.

PostgreSQL is available today for documentation. AI SQL explorer will start with PostgreSQL and then add MySQL and SQL Server. Oracle is planned.

Example prompts you can try

These show the style of questions. You always review and edit the SQL before running it.

Exploratory questions

Which tables store customer identities and how do they relate
List the top twenty products by revenue in the last quarter
Show orders with missing shipping dates grouped by region

Operational checks

Find orders that failed payment retry and need follow up
Daily count of new signups and activations with conversion rate
Identify users who churned this month with last active date

Benefits that matter

Speed with context

Suggestions know your schema so you spend less time hunting for the right join or column name.

Confidence in every run

Preview results with limits and see a plan summary when available. Keep a trail of changes and notes.

Reusable knowledge

Save parameterized queries so the team can answer recurring questions with one click.

Control and guardrails

Always review before run

You see the SQL and can change it. The system does not run queries without your confirmation.

Schema scope and limits

Use a read only role and limit access to the schemas you need. Sampling uses safe limits by default.

Sensitive field hints

Optional hints can flag fields that often require care such as personal data or financial identifiers.

Bring your own key or managed

Use your own AI key or a managed option on Pro. Prompts stay scoped to your workspace.

Planned capabilities

Join path suggestions

Suggest the shortest path between entities with key awareness and explain why it is suggested.

Refine with follow ups

Ask for filters, groups, or windows and see a clean diff of what changed in the SQL.

Templates and parameters

Promote a polished query to a template with named parameters and validation rules.

Run history and exports

Keep a record of runs with status and duration. Export results to CSV when needed.

Timelines may evolve as we gather feedback. We will announce milestones in the changelog.

How this compares

Many suites in this space are tailored for large enterprise programs and can require higher spend and long onboarding. Data Pilot aims to be simple to adopt with a focus on schema context and living docs. Start with documentation today then add exploration when ready.

If you want a detailed comparison page we can publish a table with public plan details from well known tools and keep it current over time.

Security and data handling

  • Your data stays in your database. The system reads metadata such as tables, columns, and relations.
  • Prompts use schema context. You can choose to exclude sample rows from prompts.
  • Connections use encryption in transit. Secrets are stored with encryption at rest where applicable.
  • Use roles with least privilege and restrict access by schema.

See the Privacy Policy and the Terms for details.

Be first to try AI SQL explorer

Join the waitlist and we will notify you when the first milestone is available. Early users help shape the feature set.