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

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

On the MongoDB side: Databases, Collections, Documents, Embedded documents and arrays, plus custom fields where MongoDB exposes them. On the OpenSearch side: Data streams, Snapshots, Indexes, Documents. 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 MongoDB and OpenSearch: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.

MongoDB: MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management. Authentication: Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required. OpenSearch: REST API over HTTP(S) with JSON payloads. Authentication: Basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service. Stacksync manages authentication, retries, and rate limits on both sides.

MongoDB: Only ObjectId primary keys are supported for collections. OpenSearch: Amazon OpenSearch Service domains typically authenticate with IAM request signing, while self-managed clusters use the security plugin's basic auth or certificates. Stacksync's field mapping accounts for these differences between MongoDB and OpenSearch without custom code.