Skip to content
Database ⇄ Marketing

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

Keep Google Cloud SQL 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.

  • 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 Google Cloud SQL and Salesforce Marketing Cloud

Give your team Salesforce Marketing Cloud's contacts, campaigns, and engagement in Google Cloud SQL: query them with SQL, push audiences built from your own data back to Salesforce Marketing Cloud, and skip the marketing API.

Salesforce Marketing Cloud holds the people, audiences, and campaign activity that marketing runs on, but that data sits behind interfaces built for marketers, not for your internal systems. Engineers and analysts who need contacts, list membership, or engagement, for reporting, attribution, or product logic, end up writing integration code against a rate-limited API and maintaining it forever. Meanwhile the customer and usage data marketers want for targeting already lives in Google Cloud SQL, hard to get into campaigns without manual exports.

Stacksync mirrors Data Extensions, Contacts / Subscribers, Journeys (Journey Builder), Content Assets (Content Builder) from Salesforce Marketing Cloud into Schemas, Tables, Rows, Views in Google Cloud SQL field by field, in real time, and in both directions. Marketing records become rows your code can query and join with product and customer data; audiences and attributes computed in Google Cloud SQL, from usage, orders, or account status, sync back into Salesforce Marketing Cloud to drive campaigns and ads, with Salesforce Marketing Cloud kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 02 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • 03 Fire Journey Builder entry events (/interaction/v1/events) from an app or database when a contact acts, so behavioral journeys trigger on live events instead of scheduled batch loads.
  • 04 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.

Common sync patterns

Engagement and results next to the customer

Opens, clicks, sends, RSVPs, or ad activity from Salesforce Marketing Cloud land in Google Cloud SQL beside the matching customer record, ready for reporting and revenue attribution.

React to marketing changes as row changes

A new lead, form fill, or list change in Salesforce Marketing Cloud arrives as a row change in Google Cloud SQL, so scoring, jobs, and notifications run in the tooling your team already uses.

Keep contact attributes consistent

Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.

What you can sync between Google Cloud SQL 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 SQL objects Salesforce Marketing Cloud objects How this pairing syncs
Views Read-only sources for shaping data before syncing it out. 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). Views is specific to Google Cloud SQL and Transactional Sends to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. 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. Transaction logs is specific to Google Cloud SQL and Data Extensions to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. 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. Instances is specific to Google Cloud SQL and Contacts / Subscribers to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Databases Scope the tables included in a sync configuration. 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. Databases is specific to Google Cloud SQL and Journeys (Journey Builder) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Schemas Namespace tables in PostgreSQL and SQL Server instances. Content Assets (Content Builder) Emails, templates, images, and reusable content blocks stored in Content Builder and read or written via /asset/v1/content/assets, used to compose the messages a journey or send delivers. Schemas is specific to Google Cloud SQL and Content Assets (Content Builder) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Tables Mapped directly to sync targets; schema changes can be propagated. 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. Tables is specific to Google Cloud SQL and Automations (Automation Studio) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL 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 SQL Salesforce Marketing Cloud 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 Salesforce Marketing Cloud through its API, with automatic retries and rate-limit backoff.

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

Rate-limit considerations

  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
  • 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 SQL ⇄ Salesforce Marketing Cloud

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

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

Real-time

Two-way sync

Changes in Google Cloud SQL 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 SQL 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 SQL or Salesforce Marketing Cloud record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ 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 SQL and Salesforce Marketing Cloud.

How the Google Cloud SQL and Salesforce Marketing Cloud connectors work

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.

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 SQL 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 SQL 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 SQL connected
    Salesforce Marketing Cloud connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud SQL 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 SQL ⇄ 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 SQL Salesforce Marketing Cloud
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Google Cloud SQL 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
GDPR
CCPA
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 395 integrations available for Google Cloud SQL and Salesforce Marketing Cloud.

Popular · 8 of 395
All Google Cloud SQL integrations All Salesforce Marketing Cloud 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