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Data warehouse ⇄ Marketing

BigQuery to Marketo integration — real-time, two-way sync

Keep BigQuery 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 BigQuery and Marketo

Put modeled data to work and measure what it drives: BigQuery and Marketo keep contacts, audiences, and campaign results in step in real time, in both directions.

BigQuery is where your team models customers, product usage, and revenue into trusted tables; Marketo 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 Clustered tables, Datasets, Projects, Tables in BigQuery with Static Lists, Programs and Program Members, Smart Campaigns, Leads in Marketo 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 Marketo while sends, opens, and conversions flow back to BigQuery — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.

Common use cases

  • 01 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
  • 02 Feed ML feature tables in BigQuery from operational systems on a continuous schedule
  • 03 Sync Opportunities and Opportunity Roles into Marketo so revenue and pipeline data can drive account-aware nurture and reporting.
  • 04 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.

Common sync patterns

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 BigQuery holds the current state for auditing.

Enrich records with warehouse context

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

Activate a modeled audience

A segment or score built in BigQuery — high-intent accounts, churn risk, a lifetime-value tier — lands as an audience or contact field in Marketo, so campaigns target the people your data actually points to instead of a static export.

What you can sync between BigQuery 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.

BigQuery objects Marketo objects How this pairing syncs
Clustered tables Supported; clustering is transparent to the sync. 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. Clustered tables is specific to BigQuery and Programs and Program Members to Marketo — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. 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. Datasets is specific to BigQuery and Smart Campaigns to Marketo — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. 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. Projects is specific to BigQuery and Leads to Marketo — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. 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. Tables is specific to BigQuery and Companies to Marketo — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Opportunities and Opportunity Roles Revenue objects synced via /rest/v1/opportunities.json and /rest/v1/opportunities/roles.json; roles associate an opportunity with a Lead, so pipeline data can drive nurture and scoring. Partitioned tables is specific to BigQuery and Opportunities and Opportunity Roles to Marketo — each maps to any object or custom field on the other side.

How changes propagate between BigQuery 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.

BigQuery Marketo Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

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

Marketo BigQuery 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 BigQuery as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • 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 BigQuery ⇄ Marketo

Connect BigQuery and Marketo for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in BigQuery or Marketo instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery 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 BigQuery or Marketo record.

Observability

Monitoring

Track your BigQuery ⇄ Marketo sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and Marketo.

How the BigQuery and Marketo connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

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 BigQuery 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 BigQuery 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
    BigQuery connected
    Marketo connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery 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 · BigQuery ⇄ 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
    BigQuery Marketo
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery 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.

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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 502 integrations available for BigQuery and Marketo.

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