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CRM ⇄ Database

Gong to Google Cloud SQL integration — real-time, two-way sync

Keep Gong and Google Cloud SQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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

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Why teams connect Gong and Google Cloud SQL

Treat Gong like part of your database: its records live in Google Cloud SQL as real tables, and writes in either place sync to the other in seconds.

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 Google Cloud SQL, where it can be queried and joined like everything else.

Stacksync mirrors Interaction Stats (Activity), Trackers & Scorecards, CRM Objects, Library from Gong into Instances, Databases, Schemas, Tables in Google Cloud SQL 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.

Common use cases

  • 01 Pull call Transcripts by callId into a warehouse or vector store to power search, RAG, and deal-review summaries over what was said on calls.
  • 02 Sync Interaction Stats such as talk ratios and per-rep activity into a coaching database for engagement and rep-performance dashboards.
  • 03 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 04 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.

Common sync patterns

Trigger workflows from CRM changes

Field and stage updates in Gong arrive as row changes in Google Cloud SQL, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Gong become tables in Google Cloud SQL you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to Google Cloud SQL sync onto the matching records in Gong, giving go-to-market teams live product context.

What you can sync between Gong and Google Cloud SQL

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 Google Cloud SQL objects How this pairing syncs
Transcripts Speaker-attributed, timestamped sentences retrieved via POST /v2/calls/transcript for one or more callIds; available only after asynchronous processing completes. Read-only. Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Transcripts is specific to Gong and Instances to Google Cloud SQL — 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. Databases Scope the tables included in a sync configuration. Users is specific to Gong and Databases to Google Cloud SQL — 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. Schemas Namespace tables in PostgreSQL and SQL Server instances. Interaction Stats (Activity) is specific to Gong and Schemas to Google Cloud SQL — 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. Tables Mapped directly to sync targets; schema changes can be propagated. Trackers & Scorecards is specific to Gong and Tables to Google Cloud SQL — 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. Rows Read and written by primary key during each sync cycle. CRM Objects is specific to Gong and Rows to Google Cloud SQL — 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. Views Read-only sources for shaping data before syncing it out. Library is specific to Gong and Views to Google Cloud SQL — each maps to any object or custom field on the other side.

How changes propagate between Gong and Google Cloud SQL

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.

Gong Google Cloud SQL 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 Google Cloud SQL as a row-level write, with types converted between the two schemas.

Google Cloud SQL Gong Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

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

Rate-limit considerations

  • 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.
  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
What ships with Gong ⇄ Google Cloud SQL

Connect Gong and Google Cloud SQL for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Gong or Google Cloud SQL 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 Gong or Google Cloud SQL record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Gong and Google Cloud SQL.

How the Gong and Google Cloud SQL connectors work

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

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.
How it works

How to connect Gong to Google Cloud SQL — 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 Gong and Google Cloud SQL 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
    Gong connected
    Google Cloud SQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Gong and Google Cloud SQL 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 · Gong ⇄ Google Cloud SQL
    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
    Gong Google Cloud SQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Gong and Google Cloud SQL 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
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ISO 27001
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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 458 integrations available for Gong and Google Cloud SQL.

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