Two-way sync
Changes in Gong or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep Gong 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 Interaction Stats (Activity), Trackers & Scorecards, CRM Objects, Library from Gong into Databases, Collections, Documents, Embedded documents and arrays in MongoDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Gong 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.
Accounts, contacts, and custom objects from Gong become tables in MongoDB you can join with application data directly.
Signup, usage, or lifecycle changes written to MongoDB sync onto the matching records in Gong, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Gong API, limits, and retries.
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.
| Gong objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Calls Retrieved via POST /v2/calls/extensive with participants, topics, trackers, scorecards, and media URLs, filtered by fromDateTime/toDateTime; external recordings are also imported via POST /v2/calls with media uploaded via PUT /v2/calls/{id}/media. Read and write. | Indexes Keep lookups by sync key fast on large collections. | Calls is specific to Gong and Indexes to MongoDB — each maps to any object or custom field on the other side. | |
| Transcripts Speaker-attributed, timestamped sentences retrieved via POST /v2/calls/transcript for one or more callIds; available only after asynchronous processing completes. Read-only. | Views Read-only aggregation-defined sources for filtered sync datasets. | Transcripts is specific to Gong and Views to MongoDB — each maps to any object or custom field on the other side. | |
| Users Gong users and team members with roles, titles, email, and settings, read via GET /v2/users to map call owners and participants to CRM and warehouse identities. Read-only. | Change streams The oplog-backed event feed that powers real-time change capture. | Users is specific to Gong and Change streams to MongoDB — each maps to any object or custom field on the other side. | |
| Interaction Stats (Activity) Aggregated talk/listen ratios, interaction stats, and day-by-day user activity retrieved via POST /v2/stats endpoints; read out for coaching and engagement reporting. Read-only. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Interaction Stats (Activity) is specific to Gong and GridFS files to MongoDB — each maps to any object or custom field on the other side. | |
| Trackers & Scorecards Keyword and topic tracker definitions plus coaching scorecards, including answered scorecards, read from Settings as coaching and deal-risk signals. Read-only. | Databases Logical groupings of collections that scope a sync connection. | Trackers & Scorecards is specific to Gong and Databases to MongoDB — each maps to any object or custom field on the other side. | |
| CRM Objects Accounts, opportunities, stages, and users uploaded into Gong through the CRM integration API so CRM context appears alongside conversations. Write (upload) path. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | CRM Objects is specific to Gong and Collections 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.
DetectionStacksync polls Gong for changes on an incremental schedule, reading only records changed since the previous pass. Polling POST /v2/calls/extensive on fromDateTime/toDateTime.
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 Gong through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gong–MongoDB connection.
Changes in Gong or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gong 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 Gong or MongoDB record.
Track your Gong ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gong 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 Gong 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 Gong 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 Gong and MongoDB: authenticate both systems, choose the objects to sync (such as Gong's Calls and Transcripts), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Gong: Polling POST /v2/calls/extensive on fromDateTime/toDateTime; the public API exposes no outbound webhooks or CDC, though a Gong admin can configure a product-side automation Rule that POSTs matching calls to a URL. Transcripts and analysis appear only after asynchronous processing. 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 Gong side: Interaction Stats (Activity), Trackers & Scorecards, CRM Objects, Library, plus custom fields where Gong exposes them. On the MongoDB side: Databases, Collections, Documents, Embedded documents and arrays. 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 Gong and MongoDB: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Gong become tables in MongoDB you can join with application data directly.
Gong: REST API on api.gong.io/v2 - retrieval endpoints (calls, transcript, users, stats, settings, library, logs) plus write endpoints for importing calls, uploading CRM data, and data-privacy erasure. Authentication: Basic authorization header combining an Access Key and Access Key Secret (created by a Gong technical admin, base64-encoded as key:secret); OAuth 2.0 Bearer tokens are supported for marketplace apps. 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. Stacksync manages authentication, retries, and rate limits on both sides.
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 563 integrations available for Gong and MongoDB.