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

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

Elasticsearch: Optimistic concurrency uses _seq_no and _primary_term instead of row locks, which matters when two writers touch the same document. Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Stacksync's field mapping accounts for these differences between Elasticsearch and Postgres Heroku without custom code.

Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Elasticsearch and Postgres Heroku records are not retained after a sync operation.

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

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

Change detection on Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. 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.