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

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

Stacksync pricing is usage-based and starts at $1,000/month, including the managed MongoDB and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MongoDB–Postgres Heroku integration in-house.

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

Change detection on MongoDB: MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.

On the MongoDB side: Documents, Embedded documents and arrays, Indexes, Views, plus custom fields where MongoDB exposes them. On the Postgres Heroku side: JSONB Columns, Sequences, Follower Databases, Tables. 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.