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Marketing ⇄ Data warehouse

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

Keep Eloqua 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Eloqua and Google Cloud Platform

Put modeled data to work and measure what it drives: Google Cloud Platform and Eloqua 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; Eloqua 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 Cloud SQL databases, Cloud Storage objects, Pub/Sub topics, Firestore documents in Google Cloud Platform with Accounts, Custom Data Objects, Activities, Campaigns in Eloqua 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 Eloqua 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 Add or remove Contacts from shared Contact Lists and Segments based on lifecycle stage computed downstream in a database.
  • 03 Two-way sync Contacts between Eloqua and a Postgres or warehouse table, matched on email, so ops teams query and update marketing profiles in SQL while marketers keep working in Eloqua.

Common sync patterns

Activate a modeled audience

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

Keep the contact and audience list current

New and updated contacts, leads, or audience members flow between Google Cloud Platform and Eloqua, 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.

What you can sync between Eloqua and Google Cloud Platform

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.

Eloqua objects Google Cloud Platform objects How this pairing syncs
Forms and Form Submits Form definitions and their submission data, accessed through the Application REST API; submissions read out into a warehouse for lead capture and analysis. Pub/Sub topics Event streams used to move change events between systems in near real time. Forms and Form Submits is specific to Eloqua and Pub/Sub topics to Google Cloud Platform — each maps to any object or custom field on the other side.
Contact Lists and Segments Shared lists (static) and segments (dynamic audiences); Contacts are added to or removed from shared lists based on lifecycle stage computed downstream. Firestore documents Document data read and written through the Firestore API for app-facing syncs. Contact Lists and Segments is specific to Eloqua and Firestore documents to Google Cloud Platform — each maps to any object or custom field on the other side.
Contacts Core person records, keyed on email address as the unique identifier; imported/exported via the Bulk API and upserted on email, synced two-way with CRM, warehouse, and app databases. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Contacts is specific to Eloqua and Spanner tables to Google Cloud Platform — each maps to any object or custom field on the other side.
Accounts Company records linked to Contacts via the account-linkage field; moved through the Bulk API and typically mastered in a CRM or ERP and written into Eloqua. BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Accounts is specific to Eloqua and BigQuery datasets to Google Cloud Platform — each maps to any object or custom field on the other side.
Custom Data Objects Auxiliary data tables (CDOs) linked to Contacts for records like event registrations or purchases; synced via the Bulk API so nurture campaigns can branch on them. BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Custom Data Objects is specific to Eloqua and BigQuery tables to Google Cloud Platform — each maps to any object or custom field on the other side.
Activities Engagement events (email opens, clicks, form submits, bounces, page views, subscribes/unsubscribes) exported through the Bulk API activities export; read-only feed for scoring and attribution. Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Activities is specific to Eloqua and Cloud SQL databases to Google Cloud Platform — each maps to any object or custom field on the other side.

How changes propagate between Eloqua and Google Cloud Platform

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.

Eloqua Google Cloud Platform Interval-based propagation

DetectionStacksync polls Eloqua for changes on an incremental schedule, reading only records changed since the previous pass. Polling via Bulk API exports filtered on a contact/account modified-date field using EML filter syntax.

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

Google Cloud Platform Eloqua 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 Eloqua through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Eloqua: Per-instance soft limits by sync type (Export 2,000/hr, Import 2,000/hr, Sync Action 4,000/hr); 32 MB cap per POST to a staging area and 50,000 records per retrieve batch.
  • Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with Eloqua ⇄ Google Cloud Platform

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Eloqua or Google Cloud Platform 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 Eloqua or Google Cloud Platform record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Eloqua and Google Cloud Platform connectors work

Eloqua

Integration surface
Bulk API 2.0 (contacts, accounts, custom data objects, activities) plus Application REST API (campaigns, emails, forms, lists)
Authentication
OAuth 2.0 (Authorization Code or Resource Owner Password Credentials grant; Client Credentials not supported) or HTTP Basic Auth with siteName + username + password; the instance base URL must first be discovered via the login.eloqua.com/id endpoint
Change detection
Polling via Bulk API exports filtered on a contact/account modified-date field using EML filter syntax; no general-purpose record-change webhook
Capabilities
read · write
Rate limits
Per-instance soft limits by sync type (Export 2,000/hr, Import 2,000/hr, Sync Action 4,000/hr); 32 MB cap per POST to a staging area and 50,000 records per retrieve batch

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
How it works

How to connect Eloqua to Google Cloud Platform — 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 Eloqua 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Eloqua connected
    Google Cloud Platform connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Eloqua 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Eloqua ⇄ Google Cloud Platform
    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
    Eloqua Google Cloud Platform
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Eloqua and Google Cloud Platform 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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→ 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 Eloqua and Google Cloud Platform.

Popular · 8 of 499
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