Postgres Heroku to Rillet integration — real-time, two-way sync

Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Rillet: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Follower Databases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.

Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Rillet. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.

Change detection on Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. On Rillet: Near real-time updates via change tracking; incremental sync per object, with delete detection (some objects checked every 1h or 4h). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.

On the Rillet side: Credit Memo, Bill, Journal Entry, Invoice Payment, plus custom fields where Rillet exposes them. On the Postgres Heroku side: Sequences, Follower Databases, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.

Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.

Common patterns for Postgres Heroku and Rillet: React to financial events; Query finance data like any other data; Internal tools without API plumbing. Changes in Rillet appear in Postgres Heroku as row changes, so you can trigger downstream logic with the database tooling you already use.