AI-Assisted PostgreSQL SQL Editor

Describe what you want. SaturnSQL drafts the PostgreSQL query—your team ships the final SQL. SaturnSQL Pro adds AI to a collaborative Postgres SQL editor, letting you use natural language to generate a first draft, then refine with full visibility into every line. The result is faster exploration, fewer dead-end queries, and a shared workspace your whole team can reuse.

AI is great at getting you to a correct first draft. But unlike black-box tools that hide the generated SQL or run queries automatically, SaturnSQL keeps humans in control of the final query. You get schema-aware suggestions in a real editor where you can see, edit, and understand every line before it runs. This means you can leverage AI speed without sacrificing the precision and auditability your team needs.

The workflow is simple: describe what you need in plain English, and the AI generates a starting point based on your actual database schema. From there, you refine it like any other query—the autocomplete understands your tables and columns, and you can ask the AI to explain or optimize specific parts. When you're happy with the result, save it to your team's shared library so others can reuse and build on your work.

Example: From prompt to query

Here's what it looks like in practice. Say you need to understand churn patterns but you're not sure exactly how the subscription tables are structured. You might type something like "Show users who churned last month, split by subscription plan." The AI drafts a query like this:

SELECT
  p.plan_name,
  COUNT(*) AS churned_users
FROM subscriptions s
JOIN plans p ON p.id = s.plan_id
WHERE s.status = 'canceled'
  AND s.canceled_at >= date_trunc('month', current_date) - interval '1 month'
  AND s.canceled_at <  date_trunc('month', current_date)
GROUP BY 1
ORDER BY 2 DESC;

You can then review the query, tweak the date range, add filters, or ask the AI to modify it further—maybe "also show the percentage of total churned users for each plan." The key is that you're always in the driver's seat, and every query lives in your team's workspace where others can find it, comment on it, and adapt it for their own needs.

Other prompts that work well include things like "Total MRR by month for the past year," "Top 20 most-used features this week and how usage changed vs last week," "Conversion rate from signup to first purchase by cohort month," or "Find duplicate accounts with the same email created in the last 90 days." The AI handles the SQL mechanics while you focus on the business question.

Common questions

Does AI run queries automatically? No—AI drafts SQL, but you decide what to run. You maintain full control and visibility into every query, and nothing executes until you explicitly run it.

Is the AI aware of my schema? Yes. Drafts and autocomplete use your connected Postgres schema, so suggestions reference your actual tables, columns, and relationships rather than generic placeholders.

Can I edit the AI output? Absolutely. It's a real SQL editor with full control—syntax highlighting, autocomplete, formatting, the works. AI provides a starting point; you refine it to perfection.