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Database ⇄ Marketing

AWS Aurora PostgreSQL to Eloqua integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL and Eloqua 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 AWS Aurora PostgreSQL and Eloqua

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

Eloqua 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 AWS Aurora PostgreSQL, hard to get into campaigns without manual exports.

Stacksync mirrors Activities, Campaigns, Emails, Forms and Form Submits from Eloqua into Primary keys and constraints, Views and materialized views, Foreign keys, Replication slots and publications in AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL, from usage, orders, or account status, sync back into Eloqua to drive campaigns and ads, with Eloqua kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Sync JSONB-heavy application data into structured objects in downstream business systems.
  • 02 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
  • 03 Add or remove Contacts from shared Contact Lists and Segments based on lifecycle stage computed downstream in a database.
  • 04 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

Engagement and results next to the customer

Opens, clicks, sends, RSVPs, or ad activity from Eloqua land in AWS Aurora PostgreSQL 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 Eloqua arrives as a row change in AWS Aurora PostgreSQL, 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 AWS Aurora PostgreSQL and Eloqua

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.

AWS Aurora PostgreSQL objects Eloqua objects How this pairing syncs
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. 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. Databases and schemas is specific to AWS Aurora PostgreSQL and Contacts to Eloqua — each maps to any object or custom field on the other side.
Tables The core sync unit; rows are matched across systems by primary key. 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. Tables is specific to AWS Aurora PostgreSQL and Accounts to Eloqua — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. 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. Rows is specific to AWS Aurora PostgreSQL and Custom Data Objects to Eloqua — each maps to any object or custom field on the other side.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. 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. Columns is specific to AWS Aurora PostgreSQL and Activities to Eloqua — each maps to any object or custom field on the other side.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Campaigns Multi-step campaign-canvas assets managed through the Application REST API; campaign membership and response data read out for attribution reporting. Primary keys and constraints is specific to AWS Aurora PostgreSQL and Campaigns to Eloqua — each maps to any object or custom field on the other side.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Emails Email creative and email-group assets managed via the Application REST API; usually read for reporting rather than written by a sync. Views and materialized views is specific to AWS Aurora PostgreSQL and Emails to Eloqua — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL and Eloqua

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.

AWS Aurora PostgreSQL Eloqua Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

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

Eloqua AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.

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.
What ships with AWS Aurora PostgreSQL ⇄ Eloqua

Connect AWS Aurora PostgreSQL and Eloqua for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Eloqua connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Eloqua instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or Eloqua 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 AWS Aurora PostgreSQL or Eloqua record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Eloqua sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Eloqua.

How the AWS Aurora PostgreSQL and Eloqua connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

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
How it works

How to connect AWS Aurora PostgreSQL to Eloqua — 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 AWS Aurora PostgreSQL and Eloqua 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
    AWS Aurora PostgreSQL connected
    Eloqua connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and Eloqua 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 · AWS Aurora PostgreSQL ⇄ Eloqua
    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
    AWS Aurora PostgreSQL Eloqua
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and Eloqua 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 412 integrations available for AWS Aurora PostgreSQL and Eloqua.

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