Two-way sync
Changes in DuckDB or Gong instantly reflect in both systems. No stale data, no manual imports.
Keep DuckDB and Gong 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 DuckDB, where it can be queried and joined like everything else.
Stacksync mirrors Users, Interaction Stats (Activity), Trackers & Scorecards, CRM Objects from Gong into Attached databases, Database files, Schemas, Tables in DuckDB 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 DuckDB you can join with application data directly.
Signup, usage, or lifecycle changes written to DuckDB 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.
| DuckDB objects | Gong objects | How this pairing syncs | |
|---|---|---|---|
| External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Library Call-library folders and folder content (curated calls and snippets) read via GET /v2/library/folders and /v2/library/folder-content. Read-only. | External files (Parquet/CSV/JSON) is specific to DuckDB and Library to Gong — each maps to any object or custom field on the other side. | |
| Attached databases Additional database files or external systems attached into one session for cross-source queries. | 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 databases is specific to DuckDB and Data Privacy (Erasure) to Gong — each maps to any object or custom field on the other side. | |
| Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | 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. | Database files is specific to DuckDB and Calls to Gong — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to organize tables in sync outputs. | 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 is specific to DuckDB and Transcripts to Gong — each maps to any object or custom field on the other side. | |
| Tables Columnar tables created via SQL; the destination for materialized sync data. | 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. | Tables is specific to DuckDB and Users to Gong — each maps to any object or custom field on the other side. | |
| Views SQL views used to shape or filter data for downstream consumers. | 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. | Views is specific to DuckDB and Interaction Stats (Activity) to Gong — 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 DuckDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling or full re-reads.
DeliveryEach detected change is written to Gong through its API, with automatic retries and rate-limit backoff.
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 DuckDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–Gong connection.
Changes in DuckDB or Gong instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DuckDB or Gong data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single DuckDB or Gong record.
Track your DuckDB ⇄ Gong sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DuckDB and Gong.
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 DuckDB and Gong 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 DuckDB and Gong 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 DuckDB and Gong: authenticate both systems, choose the objects to sync (such as DuckDB's External files (Parquet/CSV/JSON) and Attached databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 DuckDB and Gong: 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 DuckDB you can join with application data directly.
DuckDB: In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default. Authentication: None built in; access control is file-system level (MotherDuck adds token auth for its hosted service). 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. 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. DuckDB: It queries Parquet, CSV, and JSON files directly without importing them, which makes file-based exchange a natural sync pattern. Stacksync's field mapping accounts for these differences between DuckDB and Gong 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 DuckDB and Gong records are not retained after a sync operation.
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 471 integrations available for DuckDB and Gong.