Two-way sync
Changes in Gong or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Keep Gong and Yellowbrick in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Trackers & Scorecards, CRM Objects, Library, Data Privacy (Erasure) from Gong land in Yellowbrick as live tables, updated within seconds, and columns computed in Yellowbrick write back to fields in Gong. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Join Gong's relationship data with billing, product, and support data in Yellowbrick to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in Yellowbrick can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from Gong are queryable in Yellowbrick moments after they change, so dashboards stop lagging the reality they describe.
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 | Yellowbrick objects | How this pairing syncs | |
|---|---|---|---|
| CRM Objects Accounts, opportunities, stages, and users uploaded into Gong through the CRM integration API so CRM context appears alongside conversations. Write (upload) path. | Views Logical views used to shape reads for BI and downstream syncs. | CRM Objects is specific to Gong and Views to Yellowbrick — each maps to any object or custom field on the other side. | |
| Library Call-library folders and folder content (curated calls and snippets) read via GET /v2/library/folders and /v2/library/folder-content. Read-only. | Users and Roles Access-control objects that govern what a sync service account can read and write. | Library is specific to Gong and Users and Roles to Yellowbrick — each maps to any object or custom field on the other side. | |
| Data Privacy (Erasure) GDPR/CCPA deletion handled by POST /v2/data-privacy/erase-data-for-email, with data-for-email lookups on the read side; a write path used for compliance deletions. | Databases Top-level containers for schemas and tables. | Data Privacy (Erasure) is specific to Gong and Databases to Yellowbrick — each maps to any object or custom field on the other side. | |
| 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. | Schemas Namespaces used to organize synced datasets by source or domain. | Calls is specific to Gong and Schemas to Yellowbrick — 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. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | Transcripts is specific to Gong and Tables to Yellowbrick — 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 Yellowbrick as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Yellowbrick for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp columns.
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–Yellowbrick connection.
Changes in Gong or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gong or Yellowbrick 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 Yellowbrick record.
Track your Gong ⇄ Yellowbrick sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gong and Yellowbrick.
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 Yellowbrick 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 Yellowbrick 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 Yellowbrick: authenticate both systems, choose the objects to sync (such as Gong's CRM Objects and Library), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Gong and Yellowbrick. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Yellowbrick: Polling on timestamp columns; no exposed transaction-log CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Gong side: Trackers & Scorecards, CRM Objects, Library, Data Privacy (Erasure), plus custom fields where Gong exposes them. On the Yellowbrick side: Views, Users and Roles, Databases, Schemas. 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 Yellowbrick: A single customer view; Cleanup that sticks; CRM analytics on live data. Join Gong's relationship data with billing, product, and support data in Yellowbrick to build the customer picture the CRM alone cannot hold.
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 454 integrations available for Gong and Yellowbrick.