Two-way sync
Changes in Gong or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Keep Gong and Google Cloud Platform 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. Calls, Transcripts, Users, Interaction Stats (Activity) from Gong land in Google Cloud Platform as live tables, updated within seconds, and columns computed in Google Cloud Platform write back to fields in Gong. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Deduplication and normalization done in Google Cloud Platform can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from Gong are queryable in Google Cloud Platform moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Google Cloud Platform appear as fields in Gong, where the people working accounts actually see them.
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 Platform 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. | Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Transcripts is specific to Gong and Cloud Storage objects to Google Cloud Platform — 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. | Pub/Sub topics Event streams used to move change events between systems in near real time. | Users is specific to Gong and Pub/Sub topics to Google Cloud Platform — 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. | Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Interaction Stats (Activity) is specific to Gong and Firestore documents to Google Cloud Platform — 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. | Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Trackers & Scorecards is specific to Gong and Spanner tables to Google Cloud Platform — 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. | BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | CRM Objects is specific to Gong and BigQuery datasets to Google Cloud Platform — 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. | BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Library is specific to Gong and BigQuery tables to Google Cloud Platform — 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 Google Cloud Platform as a row-level write, with types converted between the two schemas.
DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.
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–Google Cloud Platform connection.
Changes in Gong or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gong or Google Cloud Platform 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 Google Cloud Platform record.
Track your Gong ⇄ Google Cloud Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gong and Google Cloud Platform.
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 Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform: authenticate both systems, choose the objects to sync (such as Gong's Transcripts and Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Gong and Google Cloud Platform: Cleanup that sticks; CRM analytics on live data; Scores and segments back on the record. Deduplication and normalization done in Google Cloud Platform can be written back, so warehouse-side cleanup actually fixes the CRM.
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. Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. Stacksync manages authentication, retries, and rate limits on both sides.
Gong: Writes follow a system-of-engagement pattern - importing external call recordings (POST /v2/calls plus media upload), uploading CRM objects for context, and data-privacy erasure - so Gong is not a general write target for arbitrary business records. Google Cloud Platform: Cloud SQL Postgres and MySQL expose log-based CDC (logical replication and binlog), which Datastream and external sync tools consume for real-time replication. Stacksync's field mapping accounts for these differences between Gong and Google Cloud Platform 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 Google Cloud Platform records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Gong and Google Cloud Platform connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Gong–Google Cloud Platform integration in-house.
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 562 integrations available for Gong and Google Cloud Platform.