Two-way sync
Changes in Gong or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Keep Gong and MotherDuck 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. Interaction Stats (Activity), Trackers & Scorecards, CRM Objects, Library from Gong land in MotherDuck as live tables, updated within seconds, and columns computed in MotherDuck write back to fields in Gong. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Lead scores, churn risk, or usage segments computed in MotherDuck appear as fields in Gong, where the people working accounts actually see them.
Join Gong's relationship data with billing, product, and support data in MotherDuck to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in MotherDuck can be written back, so warehouse-side cleanup actually fixes the CRM.
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 | MotherDuck objects | How this pairing syncs | |
|---|---|---|---|
| Trackers & Scorecards Keyword and topic tracker definitions plus coaching scorecards, including answered scorecards, read from Settings as coaching and deal-risk signals. Read-only. | Tables The main landing target for synced records and source for analysis. | Trackers & Scorecards is specific to Gong and Tables to MotherDuck — 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. | Views Modeled projections used as outbound sync sources. | CRM Objects is specific to Gong and Views to MotherDuck — 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. | Database Shares Read-only copies of a database shared with other users or teams. | Library is specific to Gong and Database Shares to MotherDuck — 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. | Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | Data Privacy (Erasure) is specific to Gong and Attached Local DuckDB Databases to MotherDuck — 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. | Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | Calls is specific to Gong and Databases to MotherDuck — 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. | Schemas Namespaces within a database used to organize synced tables. | Transcripts is specific to Gong and Schemas to MotherDuck — 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 MotherDuck as a row-level write, with types converted between the two schemas.
DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
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–MotherDuck connection.
Changes in Gong or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gong or MotherDuck 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 MotherDuck record.
Track your Gong ⇄ MotherDuck sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gong and MotherDuck.
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 MotherDuck 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 MotherDuck 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 MotherDuck: authenticate both systems, choose the objects to sync (such as Gong's Trackers & Scorecards and CRM Objects), map fields visually, and changes propagate both ways in milliseconds — no code required.
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. MotherDuck: SQL through DuckDB clients and drivers using a MotherDuck (md:) connection. Authentication: Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults. Stacksync manages authentication, retries, and rate limits on both sides.
Gong: Authentication uses a Basic authorization header built from an Access Key and Access Key Secret generated by a Gong technical admin, or OAuth 2.0 Bearer tokens for marketplace apps. MotherDuck: MotherDuck is built on DuckDB, so integrations use DuckDB SQL and connect through standard DuckDB client libraries with an md: connection string. Stacksync's field mapping accounts for these differences between Gong and MotherDuck without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Gong and MotherDuck records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Gong and MotherDuck connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Gong–MotherDuck integration in-house.
Yes — Stacksync ships production-grade connectors for both Gong and MotherDuck. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates 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 472 integrations available for Gong and MotherDuck.