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

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

Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Snapfulfil. 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 Snapfulfil: Polling, subject to the platform's API rate limits. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.

On the Postgres Heroku side: Tables, Views, Materialized Views, Schemas, plus custom fields where Postgres Heroku exposes them. On the Snapfulfil side: Purchase orders / ASNs, Items (SKUs), Inventory balances, Shipments. 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 Snapfulfil: React to ERP changes; Where Snapfulfil is the HR system of record: people data for internal systems; Controlled write-back. Updates in Snapfulfil arrive as row changes in Postgres Heroku, so jobs and triggers can respond as the business record changes.