Elasticsearch to MongoDB integration — real-time, two-way sync

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

Elasticsearch: A field's mapping is fixed once indexed; changing a field type requires reindexing into a new index, typically swapped in behind an alias. MongoDB: Change streams expose ordered change events with resume tokens, so an interrupted sync can pick up exactly where it stopped without a full re-read. Stacksync's field mapping accounts for these differences between Elasticsearch and MongoDB 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 MongoDB records are not retained after a sync operation.

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

Yes — Stacksync ships production-grade connectors for both Elasticsearch and MongoDB. 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 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.