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Database ⇄ Marketing

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

Keep AWS Aurora MySQL 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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Why teams connect AWS Aurora MySQL and Eloqua

Give your team Eloqua's contacts, campaigns, and engagement in AWS Aurora MySQL: 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 MySQL, hard to get into campaigns without manual exports.

Stacksync mirrors Contact Lists and Segments, Contacts, Accounts, Custom Data Objects from Eloqua into Foreign keys, Stored procedures and triggers, Databases (schemas), Tables in AWS Aurora MySQL 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 MySQL, 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 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
  • 02 Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • 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

Build audiences from your own data

Segments computed in AWS Aurora MySQL from product usage, orders, or account status sync into Eloqua 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 Eloqua land in AWS Aurora MySQL 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 MySQL, so scoring, jobs, and notifications run in the tooling your team already uses.

What you can sync between AWS Aurora MySQL 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 MySQL objects Eloqua objects How this pairing syncs
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. 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. Tables is specific to AWS Aurora MySQL and Contacts to Eloqua — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. 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. Rows is specific to AWS Aurora MySQL and Accounts to Eloqua — each maps to any object or custom field on the other side.
Columns MySQL data types are mapped to the paired system's field types during schema setup. 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. Columns is specific to AWS Aurora MySQL and Custom Data Objects to Eloqua — each maps to any object or custom field on the other side.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. 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. Primary keys and indexes is specific to AWS Aurora MySQL and Activities to Eloqua — each maps to any object or custom field on the other side.
Views Can serve as read-only sync sources for derived or filtered datasets. Campaigns Multi-step campaign-canvas assets managed through the Application REST API; campaign membership and response data read out for attribution reporting. Views is specific to AWS Aurora MySQL and Campaigns to Eloqua — each maps to any object or custom field on the other side.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Emails Email creative and email-group assets managed via the Application REST API; usually read for reporting rather than written by a sync. Foreign keys is specific to AWS Aurora MySQL and Emails to Eloqua — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL 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 MySQL Eloqua Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

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

Eloqua AWS Aurora MySQL 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 MySQL 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 MySQL ⇄ Eloqua

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL 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 MySQL 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 MySQL or Eloqua record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ 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 MySQL and Eloqua.

How the AWS Aurora MySQL and Eloqua connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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 MySQL 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 MySQL 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 MySQL connected
    Eloqua connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora MySQL 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
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HIPAA BAA
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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 410 integrations available for AWS Aurora MySQL and Eloqua.

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