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Data warehouse ⇄ Marketing

Google Cloud Platform to Salesforce Marketing Cloud integration — real-time, two-way sync

Keep Google Cloud Platform and Salesforce Marketing Cloud 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 Google Cloud Platform and Salesforce Marketing Cloud

Put modeled data to work and measure what it drives: Google Cloud Platform and Salesforce Marketing Cloud keep contacts, audiences, and campaign results in step in real time, in both directions.

Google Cloud Platform is where your team models customers, product usage, and revenue into trusted tables; Salesforce Marketing Cloud runs the campaigns, audiences, and messages that reach those people. The two overlap wherever the same person, account, or segment matters to both, and when the bridge between them is a nightly export or a hand-built list, marketing targets stale data while analytics never sees what the campaign returned.

Stacksync syncs BigQuery datasets, BigQuery tables, Cloud SQL databases, Cloud Storage objects in Google Cloud Platform with Data Extensions, Contacts / Subscribers, Journeys (Journey Builder), Content Assets (Content Builder) in Salesforce Marketing Cloud field by field, in real time, and in both directions. You decide which system owns which fields — a computed score or segment can flow out to Salesforce Marketing Cloud while sends, opens, and conversions flow back to Google Cloud Platform — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.

Common use cases

  • 01 Publish change events to Pub/Sub so downstream services react to record updates as they happen.
  • 02 Land tracking events - Sent, Open, Click, Bounce, Unsubscribe - from the SOAP tracking objects or Automation Studio Data Views into a warehouse table for per-send deliverability reporting.
  • 03 Sync Contacts and Subscriber Key subscription status between Marketing Cloud and a CRM so suppression and opt-in state stay current before the next send.

Common sync patterns

Keep the contact and audience list current

New and updated contacts, leads, or audience members flow between Google Cloud Platform and Salesforce Marketing Cloud, so the marketing audience reflects the people in your warehouse and corrections propagate instead of the two sides drifting apart.

Suppression and consent stay aligned

Unsubscribes, bounces, and consent or opt-out flags held in either system propagate to the other, so no one is messaged after opting out and Google Cloud Platform holds the current state for auditing.

Enrich records with warehouse context

Product-usage counts, plan tier, region, or account owner computed in Google Cloud Platform appear on the matching record in Salesforce Marketing Cloud, so targeting, routing, and personalization use up-to-date context.

What you can sync between Google Cloud Platform and Salesforce Marketing Cloud

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.

Google Cloud Platform objects Salesforce Marketing Cloud objects How this pairing syncs
BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Automations (Automation Studio) Scheduled or triggered workflows of import, query, extract, and send activities managed via /automation/v1/automations; SQL Query Activities read Data Views and write results into Data Extensions. BigQuery tables is specific to Google Cloud Platform and Automations (Automation Studio) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Tracking Events Sent, Open, Click, Bounce, Unsubscribe, and NotSent events retrieved through the SOAP tracking objects (SentEvent, OpenEvent, ClickEvent, BounceEvent) or the Automation Studio Data Views (_Sent, _Open, _Click, _Bounce) - the queryable record of engagement per send. Cloud SQL databases is specific to Google Cloud Platform and Tracking Events to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Transactional Sends Triggered and transactional Email/SMS delivered through the Messaging API (/messaging/v1/email/messages/{key}); the Event Notification Service reports each message's disposition (delivered, bounced, opened, clicked). Cloud Storage objects is specific to Google Cloud Platform and Transactional Sends to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Pub/Sub topics Event streams used to move change events between systems in near real time. Data Extensions Custom relational tables that store subscriber, audience, and arbitrary business data; rows are read via GET /data/v1/customobjectdata or SOAP Retrieve and upserted via the synchronous rowset PUT or the async /data/v1/async/dataextensions rows endpoint. This is the primary two-way surface. Pub/Sub topics is specific to Google Cloud Platform and Data Extensions to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Firestore documents Document data read and written through the Firestore API for app-facing syncs. Contacts / Subscribers The contact model keyed by Subscriber Key, holding channel addresses and subscription status; managed through the Contacts API (/contacts/v1/contacts) and the SOAP Subscriber object, and referenced by every send and journey. Firestore documents is specific to Google Cloud Platform and Contacts / Subscribers to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Journeys (Journey Builder) Multi-step automated flows read and managed via /interaction/v1/interactions; contacts are injected by firing an entry event to /interaction/v1/events with an EventDefinitionKey and contact data. Spanner tables is specific to Google Cloud Platform and Journeys (Journey Builder) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud Platform and Salesforce Marketing Cloud

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.

Google Cloud Platform Salesforce Marketing Cloud Sub-second propagation

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 Salesforce Marketing Cloud through its API, with automatic retries and rate-limit backoff.

Salesforce Marketing Cloud Google Cloud Platform Sub-second propagation

DetectionSalesforce Marketing Cloud notifies Stacksync of record changes through webhook events. The Event Notification Service (ENS) issues HTTPS POST callbacks for transactional Email and SMS events (sent, bounce, open, click) once a callback.

DeliveryEach detected change is applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
  • Salesforce Marketing Cloud: Salesforce does not publish fixed numeric REST rate limits; requests are throttled per account and can return HTTP 429, so backoff is advised. SOAP Retrieve returns at most 2,500 records per call and pages via ContinueRequest with the prior RequestID. Bulk Data Extension writes use the async rows API to queue inserts in the background.
What ships with Google Cloud Platform ⇄ Salesforce Marketing Cloud

Connect Google Cloud Platform and Salesforce Marketing Cloud for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Salesforce Marketing Cloud connection.

Real-time

Two-way sync

Changes in Google Cloud Platform or Salesforce Marketing Cloud instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud Platform or Salesforce Marketing Cloud 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 Google Cloud Platform or Salesforce Marketing Cloud record.

Observability

Monitoring

Track your Google Cloud Platform ⇄ Salesforce Marketing Cloud sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Salesforce Marketing Cloud.

How the Google Cloud Platform and Salesforce Marketing Cloud connectors work

Google Cloud Platform

Integration surface
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
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits

Salesforce Marketing Cloud

Integration surface
Two APIs on tenant-specific endpoints: a REST API (JSON over HTTPS) for Data Extensions, Journeys, Contacts, Content Builder, and Automations, plus a legacy SOAP API (ExactTarget WSDL) for tracking events and bulk Retrieve.
Authentication
OAuth 2.0 via an Installed Package (Client ID + Client Secret). Server-to-server uses the client_credentials grant and web apps use authorization_code, both against {subdomain}.auth.marketingcloudapis.com/v2/token. The 20-minute access token response also returns the account's rest_instance_url and soap_instance_url.
Change detection
The Event Notification Service (ENS) issues HTTPS POST callbacks for transactional Email and SMS events (sent, bounce, open, click) once a callback URL and subscription are registered and verified. There is no general data-change feed, so Data Extension and Data View syncs poll by date fields.
Capabilities
read · write · webhooks
Rate limits
Salesforce does not publish fixed numeric REST rate limits; requests are throttled per account and can return HTTP 429, so backoff is advised. SOAP Retrieve returns at most 2,500 records per call and pages via ContinueRequest with the prior RequestID. Bulk Data Extension writes use the async rows API to queue inserts in the background.
How it works

How to connect Google Cloud Platform to Salesforce Marketing Cloud — 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 Google Cloud Platform and Salesforce Marketing Cloud 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
    Google Cloud Platform connected
    Salesforce Marketing Cloud connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud Platform and Salesforce Marketing Cloud 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 · Google Cloud Platform ⇄ Salesforce Marketing Cloud
    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
    Google Cloud Platform Salesforce Marketing Cloud
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud Platform and Salesforce Marketing Cloud 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
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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 499 integrations available for Google Cloud Platform and Salesforce Marketing Cloud.

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