Two-way sync
Changes in MongoDB or Zoom instantly reflect in both systems. No stale data, no manual imports.
Keep MongoDB and Zoom in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers reach communications tools like Zoom through APIs, which means auth tokens, webhooks, delivery callbacks, and rate limits, all maintained forever and all shaped differently for every tool. The data those tools produce, who was contacted, what was sent, and what came back, would be simple to use if it lived in MongoDB next to everything else.
Stacksync mirrors Webinars, Registrants, Cloud Recordings, Participant Reports from Zoom into GridFS files, Databases, Collections, Documents in MongoDB and keeps both sides in sync in real time. Communication activity lands in the database as ordinary rows you can query and join, and rows your code writes, such as a queued outbound message or an updated contact, flow back into Zoom so the tool and the database never disagree.
There is no webhook endpoint to host, no rate limit to babysit, and no nightly export that leaves your services reading yesterday's activity.
Recipients and contacts stay consistent between Zoom and MongoDB, so a phone number or email corrected on either side is current the next time either system uses it.
Sends, replies, answered calls, or completed meetings arrive in MongoDB as row changes, so triggers, jobs, and services can respond in near real time.
Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.
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.
| MongoDB objects | Zoom objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only aggregation-defined sources for filtered sync datasets. | Cloud Recordings Recording file metadata and time-limited download URLs; read out to a warehouse or storage for archival and compliance. | Views is specific to MongoDB and Cloud Recordings to Zoom — each maps to any object or custom field on the other side. | |
| Change streams The oplog-backed event feed that powers real-time change capture. | Participant Reports Past-meeting and webinar attendance from the Reports and Dashboard APIs; read-only, used to write attendance onto CRM records. | Change streams is specific to MongoDB and Participant Reports to Zoom — each maps to any object or custom field on the other side. | |
| GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Zoom Phone Call Logs Call detail records and recordings from Zoom Phone (requires the Phone license); read into a database to log calls against customers. | GridFS files is specific to MongoDB and Zoom Phone Call Logs to Zoom — each maps to any object or custom field on the other side. | |
| Databases Logical groupings of collections that scope a sync connection. | Team Chat Channels and Messages Chat channels, membership, and messages; listed and sent two-way to align collaboration spaces with team data. | Databases is specific to MongoDB and Team Chat Channels and Messages to Zoom — each maps to any object or custom field on the other side. | |
| Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Users Account members with license type, role, and status; created, updated, and deactivated two-way to sync with HRIS or identity systems. | Collections is specific to MongoDB and Users to Zoom — each maps to any object or custom field on the other side. | |
| Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Groups User groups that carry policy and settings; membership synced from department or team data in an operational database. | Documents is specific to MongoDB and Groups to Zoom — 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.
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 Zoom through its API, with automatic retries and rate-limit backoff.
DetectionZoom notifies Stacksync of record changes through webhook events. Webhooks via Event Subscriptions (meeting.started/ended, participant joined/left, user.created/updated, recording.completed, and more) for real-time.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MongoDB–Zoom connection.
Changes in MongoDB or Zoom instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MongoDB or Zoom data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single MongoDB or Zoom record.
Track your MongoDB ⇄ Zoom sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MongoDB and Zoom.
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 MongoDB and Zoom 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 MongoDB and Zoom 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 MongoDB and Zoom: authenticate both systems, choose the objects to sync (such as MongoDB's Views and Change streams), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both MongoDB and Zoom. 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 Zoom: Webhooks via Event Subscriptions (meeting.started/ended, participant joined/left, user.created/updated, recording.completed, and more) for real-time events, with polling on list endpoints using date-range filters for backfill and objects without an event. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Zoom side: Webinars, Registrants, Cloud Recordings, Participant Reports, plus custom fields where Zoom exposes them. On the MongoDB side: GridFS files, Databases, Collections, 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 Zoom: One contact list across both; React to activity as it happens; One integration pattern for every channel. Recipients and contacts stay consistent between Zoom and MongoDB, so a phone number or email corrected on either side is current the next time either system uses it.
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 444 integrations available for MongoDB and Zoom.