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Database ⇄ Marketing

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

Keep Google Cloud SQL and Marketo 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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Why teams connect Google Cloud SQL and Marketo

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

Marketo 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 Leads, Companies, Opportunities and Opportunity Roles, Custom Objects from Marketo into Rows, Views, Transaction logs, Instances 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 Marketo to drive campaigns and ads, with Marketo 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 Two-way sync Marketo Leads with a Postgres or warehouse table, matched on email, so RevOps queries and updates marketing profiles in SQL while marketers keep working in Marketo.
  • 04 Extract Marketo Activities (opens, clicks, form fills, Data Value Changes) through Bulk Activity Extract or Get Lead Activities into a warehouse for lead scoring and multi-touch attribution.

Common sync patterns

Query Marketo like a database

Contacts, leads, audiences, and campaign metrics from Marketo live in Google Cloud SQL as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.

Build audiences from your own data

Segments computed in Google Cloud SQL from product usage, orders, or account status sync into Marketo as lists or audiences, so campaigns and ads target the people your data says they should.

Engagement and results next to the customer

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

What you can sync between Google Cloud SQL and Marketo

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 Marketo objects How this pairing syncs
Schemas Namespace tables in PostgreSQL and SQL Server instances. Activities and Lead Changes Engagement feed (opens, clicks, form fills, Data Value Changes) read via GET /rest/v1/activities.json using a paging token from /rest/v1/activities/pagingtoken.json (sinceDatetime), plus Get Lead Changes and Get Deleted Leads; read-only, also available via async Bulk Activity Extract. Schemas is specific to Google Cloud SQL and Activities and Lead Changes to Marketo — each maps to any object or custom field on the other side.
Tables Mapped directly to sync targets; schema changes can be propagated. Static Lists Named static lists; read via /rest/v1/lists.json, with Leads added or removed via POST and DELETE on /rest/v1/lists/{listId}/leads.json to control campaign membership from lifecycle logic computed downstream. Tables is specific to Google Cloud SQL and Static Lists to Marketo — each maps to any object or custom field on the other side.
Rows Read and written by primary key during each sync cycle. Programs and Program Members Marketing programs read via /rest/v1/programs.json; program membership and member status managed via /rest/v1/leads/programs/{programId}.json and the program status endpoint for acquisition and attribution reporting. Rows is specific to Google Cloud SQL and Programs and Program Members to Marketo — each maps to any object or custom field on the other side.
Views Read-only sources for shaping data before syncing it out. Smart Campaigns Automation flows read via /rest/v1/campaigns.json and run against a set of Leads by requesting a trigger campaign with POST /rest/v1/campaigns/{id}/trigger.json, so downstream logic can push Leads into a Marketo flow. Views is specific to Google Cloud SQL and Smart Campaigns to Marketo — 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. Leads Core person records (called Leads/People), deduped on email address by default or a configured dedupe field; read via GET /rest/v1/leads.json with a filterType, upserted via POST /rest/v1/leads.json (action createOrUpdate/createOnly/updateOnly), bulk-imported via CSV through POST /bulk/v1/leads.json, and bulk-exported via /bulk/v1/leads/export/create.json. Transaction logs is specific to Google Cloud SQL and Leads to Marketo — 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. Companies Company records linked to Leads via a company link field; read and upserted through /rest/v1/companies.json, typically mastered in a CRM or ERP and written into Marketo for account context. Instances is specific to Google Cloud SQL and Companies to Marketo — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL and Marketo

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 Marketo 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 Marketo through its API, with automatic retries and rate-limit backoff.

Marketo Google Cloud SQL Interval-based propagation

DetectionStacksync polls Marketo for changes on an incremental schedule, reading only records changed since the previous pass. Polling: Get Lead Changes and Get Lead Activities from a paging token seeded by a sinceDatetime, plus Get Deleted Leads, or Bulk Extract filtered on.

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.
  • Marketo: Interactive calls are capped at 100 per 20 seconds (error 606) and a maximum of 10 concurrent calls (error 615) per instance, neither increasable; a default daily quota of 50,000 calls (increasable, resets midnight CST) applies. Bulk Extract shares a 500 MB/day export quota across data types with at most 2 concurrent jobs and 10 queued.
What ships with Google Cloud SQL ⇄ Marketo

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

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

Real-time

Two-way sync

Changes in Google Cloud SQL or Marketo 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 Marketo 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 Marketo record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ Marketo 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 Marketo.

How the Google Cloud SQL and Marketo 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.

Marketo

Integration surface
Marketo REST API (JSON over HTTPS) for Leads, Companies, Opportunities, Custom Objects, Activities, Lists, Programs, and Campaigns, plus an asynchronous Bulk Import (leads) and Bulk Extract (leads/activities/program members/custom objects) API and an Asset REST API for emails, forms, and landing pages
Authentication
OAuth 2.0 client_credentials (2-legged): GET the Identity URL /oauth/token?grant_type=client_credentials with a Custom Service client_id and client_secret to receive an access token valid for 3600 seconds, then send it as Authorization: Bearer on each call. The instance base URL is https://{munchkinId}.mktorest.com; passing the token as an access_token query parameter is deprecated (removal July 31, 2026).
Change detection
Polling: Get Lead Changes and Get Lead Activities from a paging token seeded by a sinceDatetime, plus Get Deleted Leads, or Bulk Extract filtered on createdAt/updatedAt. Marketo's Webhooks are Smart Campaign flow-step outbound HTTP calls to a URL, not a general record-change subscription, so there is no push feed of arbitrary CRUD.
Capabilities
read · write
Rate limits
Interactive calls are capped at 100 per 20 seconds (error 606) and a maximum of 10 concurrent calls (error 615) per instance, neither increasable; a default daily quota of 50,000 calls (increasable, resets midnight CST) applies. Bulk Extract shares a 500 MB/day export quota across data types with at most 2 concurrent jobs and 10 queued.
How it works

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

    Choose tables

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

Google Cloud SQL and Marketo 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 Marketo.

Popular · 7 of 395
All Google Cloud SQL integrations All Marketo integrations Browse all integrations
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