How to Query Your Postgres Database (Without the Hassle)

Last updated: November 21, 2025

Indiequery gives you a browser-based SQL editor to query your Postgres database from anywhere. No desktop app to install, no setup across devices. Just connect your database and start writing queries with autocomplete, syntax highlighting, and a built-in schema browser.

Write Queries with Autocomplete and Formatting

The query editor at app.indiequery.com includes autocomplete for everything you need. Type a few characters and you'll see suggestions for:

  • SQL keywords - SEL suggests SELECT, WHE suggests WHERE
  • Table names - FROM us shows your users table
  • Column names - After typing a table name, columns appear automatically
  • Functions - Built-in Postgres functions like COUNT(), NOW(), INTERVAL Write your query naturally. The editor highlights SQL syntax as you type, making it easy to spot mistakes before running.

Need to clean up messy SQL? Click the Format SQL button to instantly prettify your query with proper indentation and spacing.

Browse Your Schema While You Query

The schema browser sits in a sidebar while you work. Click any table to see:

  • All columns with their data types
  • Primary keys
  • Whether columns allow NULL values
  • Default values No need to write DESCRIBE queries or switch to another tool. Your schema is always visible while you write SQL.

Run Queries and View Results

Click Run Query (or press Cmd/Ctrl+Enter) to execute your SQL. Indiequery runs queries in read-only mode automatically, so you can't accidentally delete or modify data.

Results appear in a table below the editor. You can:

  • Scroll through rows - Handles large result sets smoothly
  • Export to CSV - Download results for Excel or Google Sheets
  • Export to JSON - Use in scripts or applications
  • Copy individual values - Click any cell to copy Example query to find recent signups:
SELECT email, created_at, subscription_status
FROM users
WHERE created_at > NOW() - INTERVAL '7 days'
ORDER BY created_at DESC
LIMIT 100;

Use AI to Generate Queries

Don't remember the exact SQL syntax? Click AI Query Builder and describe what you want in plain English:

  • "Show me users who signed up in the last 7 days"
  • "Count how many orders were placed each month"
  • "Find inactive users with expired subscriptions" The AI generates the SQL query for you. Review it, adjust if needed, and run it.

Access Your Query History

Every query you run is saved automatically. Click Query History to:

  • Search past queries - Find that query you ran last week
  • Rerun queries - Click any past query to load it in the editor
  • Track what you've done - See when you ran each query Useful when you need to repeat an analysis or remember what filters you used.

Query From Your Phone

The editor works on mobile browsers. You can check user data, debug issues, or grab a quick export while away from your desk. The interface adapts to smaller screens - schema browser becomes a dropdown, results scroll horizontally.

Save and Organize Queries

Name and save queries you run often. Instead of rewriting the same SQL, just load your saved query and run it. You can organize queries by project to keep different databases separate.

Common Queries to Try

Check recent activity:

SELECT * FROM users
ORDER BY last_login DESC
LIMIT 20;

Count records by status:

SELECT status, COUNT(*) as total
FROM orders
GROUP BY status;

Find records in a date range:

SELECT * FROM payments
WHERE created_at BETWEEN '2024-01-01' AND '2024-01-31';

Search for text:

SELECT * FROM articles
WHERE title ILIKE '%postgres%';

Read-Only Safety

All queries run in read-only mode. You can't accidentally run DELETE, UPDATE, or DROP statements. This makes it safe to explore data and experiment with queries without worrying about breaking anything.

If you need to modify data, use your database's own tools or admin interface. Indiequery is built for querying and analyzing data, not changing it.

Works With Any Postgres Database

Connect databases from:

  • Cloud providers (Supabase, Neon, Railway, Render, Digital Ocean)
  • Amazon RDS or Aurora PostgreSQL
  • Google Cloud SQL
  • Azure Database for PostgreSQL
  • Self-hosted PostgreSQL servers As long as you have connection credentials and network access, it works.
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