Heroku Postgres connection details just work in QueryFlow. Pure Swift, OAuth-less, instant connection with the credentials from your Heroku CLI or dashboard. Claude AI in the editor knows your schema.
Quick answer: QueryFlow connects to Heroku Postgres databases via standard Postgres wire protocol with SSL. Paste your DATABASE_URL from heroku config or the Heroku dashboard, and the connection is set up. QueryFlow is a native Swift macOS app with Claude AI in the SQL editor, multi-tab workspace, scheduled queries, and ETL pipelines.
Heroku Postgres remains one of the most popular managed Postgres services for indie developers and startups. Connection is straightforward: every Heroku Postgres add-on provides a DATABASE_URL with all credentials embedded. The question is what tool to point at it. Common options on Mac: psql command line, DBeaver, Postico, TablePlus, DataGrip — each with tradeoffs.
From your terminal: heroku config:get DATABASE_URL -a YOUR_APP. Copy the URL (format: postgres://user:password@host:port/database). In QueryFlow, add a new Postgres connection and paste the URL into the connection string field — QueryFlow parses it into host, port, user, password, database, and enables SSL automatically (Heroku requires SSL). Connection is set up in 30 seconds.
Heroku Postgres queries are often the slow path in your application's response time. Diagnosing performance requires running EXPLAIN, checking pg_stat_statements, examining index usage. The faster the diagnostic loop, the faster you fix issues. QueryFlow's pure Swift implementation launches in under a second and renders large result sets without UI lag. Compared to DBeaver's 5-15 second JVM cold start, the difference is meaningful when debugging production issues.
Connect a Heroku Postgres database and Claude sees your schema. Ask Claude to write a query that finds users who haven't logged in for 30 days, and it produces valid Postgres SQL with your actual table and column names. Ask why a query is slow and it analyzes the EXPLAIN output, recognizing Postgres-specific patterns (sequential scans on large tables, missing indexes, sort spills to disk).
Heroku Postgres has connection limits based on plan tier (20 for Hobby, scaling up for paid tiers). QueryFlow uses a single connection per Heroku Postgres connection — it doesn't pool internally because desktop clients don't need to. If your app uses pgbouncer in front of Heroku Postgres, you can point QueryFlow at the same pgbouncer endpoint and it works identically.
Most Heroku setups have multiple environments (production, staging, review apps). Each gets its own QueryFlow connection with a clear name (myapp-production, myapp-staging). The connection list shows all of them at a glance. Switching between them is a click — no re-authentication, no manual env switching.
QueryFlow's Visual ETL builder treats Heroku Postgres as a first-class source. Common workflows: sync Heroku Postgres user data to Salesforce for sales follow-up, export daily activity reports to Google Sheets for the team, pipe Heroku Postgres data to Snowflake for analytics. All scheduled, all running locally on your Mac, no Heroku add-on required beyond the existing Postgres.
Yes. Each follower has its own DATABASE_URL and can be added as a separate QueryFlow connection. For read-heavy analytical queries, pointing QueryFlow at a follower instead of the primary reduces load on production.
Heroku Postgres credentials can rotate via heroku pg:credentials:rotate. When this happens, your DATABASE_URL changes. Update the connection in QueryFlow with the new URL and you're reconnected.
QueryFlow's data movement is through pipelines (Postgres → CSV → destination), not shell commands. For full database backup/restore operations, the standard pg_dump/pg_restore command-line tools remain the right choice. For specific table exports, QueryFlow pipelines work well.
Yes. QueryFlow's schema explorer shows row count estimates from Postgres's pg_class statistics for connected tables. For more detailed statistics, you can run any Postgres system query directly in the SQL editor.
Yes. QueryFlow's Postgres connector works with any standard Postgres deployment: Heroku, AWS RDS, Aurora, Neon, Supabase, Crunchy Bridge, Render, Railway, or self-hosted. The connection model is the same — host, port, user, password, database, SSL.
14-day free trial. Paste your DATABASE_URL and start querying with Claude AI in under a minute.