Skip to content
Data warehouse ⇄ CRM

BigQuery to Gong integration — real-time, two-way sync

Keep BigQuery 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect BigQuery and Gong

Sync Gong into BigQuery continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

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. CRM Objects, Library, Data Privacy (Erasure), Calls from Gong land in BigQuery as live tables, updated within seconds, and columns computed in BigQuery write back to fields in Gong. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 Import externally recorded dialer or web-conference calls into Gong via POST /v2/calls so they get transcribed and analyzed like native Gong calls.
  • 02 Upload warehouse- or CRM-derived Accounts, Opportunities, and stages into Gong through the CRM integration API so deal context shows alongside conversations.
  • 03 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
  • 04 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources

Common sync patterns

CRM analytics on live data

Accounts, contacts, and activity from Gong are queryable in BigQuery moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in BigQuery appear as fields in Gong, where the people working accounts actually see them.

A single customer view

Join Gong's relationship data with billing, product, and support data in BigQuery to build the customer picture the CRM alone cannot hold.

What you can sync between BigQuery and Gong

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.

BigQuery objects Gong objects How this pairing syncs
Tables The syncable unit: only tables can be synced per the Stacksync docs. Library Call-library folders and folder content (curated calls and snippets) read via GET /v2/library/folders and /v2/library/folder-content. Read-only. Tables is specific to BigQuery and Library to Gong — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. 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. Partitioned tables is specific to BigQuery and Data Privacy (Erasure) to Gong — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. 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. Clustered tables is specific to BigQuery and Calls to Gong — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Transcripts Speaker-attributed, timestamped sentences retrieved via POST /v2/calls/transcript for one or more callIds; available only after asynchronous processing completes. Read-only. Datasets is specific to BigQuery and Transcripts to Gong — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. 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. Projects is specific to BigQuery and Users to Gong — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Gong

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.

BigQuery Gong Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

DeliveryEach detected change is written to Gong through its API, with automatic retries and rate-limit backoff.

Gong BigQuery Interval-based propagation

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 BigQuery as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • Gong: 3 API calls per second and 10,000 calls per day per company by default; exceeding returns HTTP 429 with a Retry-After header, and limits can be raised by contacting Gong.
What ships with BigQuery ⇄ Gong

Connect BigQuery and Gong for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Gong connection.

Real-time

Two-way sync

Changes in BigQuery or Gong instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Gong data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single BigQuery or Gong record.

Observability

Monitoring

Track your BigQuery ⇄ Gong sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and Gong.

How the BigQuery and Gong connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

Gong

Integration surface
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
Change detection
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.
Capabilities
read · write
Rate limits
3 API calls per second and 10,000 calls per day per company by default; exceeding returns HTTP 429 with a Retry-After header, and limits can be raised by contacting Gong.
Gong setup guide
How it works

How to connect BigQuery to Gong — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate BigQuery 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    BigQuery connected
    Gong connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · BigQuery ⇄ Gong
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    BigQuery Gong
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

BigQuery and Gong integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 565 integrations available for BigQuery and Gong.

Popular · 8 of 565
All BigQuery integrations All Gong integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own