Two-way sync
Changes in Intercom or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep Intercom and MongoDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in MongoDB, where it can be queried and joined like everything else.
Stacksync mirrors Companies, Conversations, Tickets, Data Events from Intercom into Embedded documents and arrays, Indexes, Views, Change streams in MongoDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Intercom with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Signup, usage, or lifecycle changes written to MongoDB sync onto the matching records in Intercom, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Intercom API, limits, and retries.
Field and stage updates in Intercom arrive as row changes in MongoDB, ready to drive jobs and notifications.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Intercom objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Admins & Teams Teammate records map conversation ownership to CRM users. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Admins & Teams is specific to Intercom and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side. | |
| Articles Help center content is accessible via API for knowledge sync and audits. | Indexes Keep lookups by sync key fast on large collections. | Articles is specific to Intercom and Indexes to MongoDB — each maps to any object or custom field on the other side. | |
| Contacts A single contact model covers both users and leads, distinguished by a role attribute. | Views Read-only aggregation-defined sources for filtered sync datasets. | Contacts is specific to Intercom and Views to MongoDB — each maps to any object or custom field on the other side. | |
| Companies Company records group contacts and carry plan and account attributes used in segmentation. | Change streams The oplog-backed event feed that powers real-time change capture. | Companies is specific to Intercom and Change streams to MongoDB — each maps to any object or custom field on the other side. | |
| Conversations Support and sales threads sync outward for analytics and CRM context. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Conversations is specific to Intercom and GridFS files to MongoDB — each maps to any object or custom field on the other side. | |
| Tickets Structured ticket records track issues alongside conversational threads. | Databases Logical groupings of collections that scope a sync connection. | Tickets is specific to Intercom and Databases to MongoDB — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionIntercom notifies Stacksync of record changes through webhook events. Webhook topic subscriptions for contact, company, and conversation events, plus polling for backfill.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).
DeliveryEach detected change is written to Intercom through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Intercom–MongoDB connection.
Changes in Intercom or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Intercom or MongoDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Intercom or MongoDB record.
Track your Intercom ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Intercom and MongoDB.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Intercom and MongoDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Intercom and MongoDB objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Intercom and MongoDB: authenticate both systems, choose the objects to sync (such as Intercom's Admins & Teams and Articles), 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 Intercom and MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Intercom–MongoDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Intercom and MongoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Intercom: Webhook topic subscriptions for contact, company, and conversation events, plus polling for backfill. 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.
On the Intercom side: Companies, Conversations, Tickets, Data Events, plus custom fields where Intercom exposes them. On the MongoDB side: Embedded documents and arrays, Indexes, Views, Change streams. 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.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 547 integrations available for Intercom and MongoDB.