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Marketing ⇄ Database

Eloqua to OpenSearch integration — real-time, two-way sync

Keep Eloqua and OpenSearch 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 OpenSearch

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

Stacksync mirrors Campaigns, Emails, Forms and Form Submits, Contact Lists and Segments from Eloqua into Ingest pipelines, Data streams, Snapshots, Indexes in OpenSearch 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 OpenSearch, 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 Keep Postgres as the source of truth while mirroring rows to OpenSearch for full-text and vector queries.
  • 02 Index support tickets and activity logs from SaaS tools for operational dashboards.
  • 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.
  • 04 Export email opens, clicks, form submits, and bounces from the Bulk API Activities export into a warehouse for lead scoring and multi-touch attribution.

Common sync patterns

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.

Query Eloqua like a database

Contacts, leads, audiences, and campaign metrics from Eloqua live in OpenSearch 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 OpenSearch 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.

What you can sync between Eloqua and OpenSearch

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 OpenSearch objects How this pairing syncs
Emails Email creative and email-group assets managed via the Application REST API; usually read for reporting rather than written by a sync. Snapshots Backup artifacts, relevant when reseeding an index from a repository Emails is specific to Eloqua and Snapshots to OpenSearch — each maps to any object or custom field on the other side.
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. Indexes The core container; synced records land in indexes with defined mappings Forms and Form Submits is specific to Eloqua and Indexes to OpenSearch — 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. Documents JSON records written via the index and bulk APIs and read via search queries Contact Lists and Segments is specific to Eloqua and Documents to OpenSearch — 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. Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills Contacts is specific to Eloqua and Index aliases to OpenSearch — 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. Index templates Mapping and settings presets applied to new indexes a sync creates Accounts is specific to Eloqua and Index templates to OpenSearch — 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. Ingest pipelines Server-side processors that transform documents as they are written Custom Data Objects is specific to Eloqua and Ingest pipelines to OpenSearch — each maps to any object or custom field on the other side.

How changes propagate between Eloqua and OpenSearch

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 OpenSearch 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 written to OpenSearch through its API, with automatic retries and rate-limit backoff.

OpenSearch Eloqua Interval-based propagation

DetectionStacksync polls OpenSearch for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

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.
  • OpenSearch: Throughput bounded by cluster sizing rather than fixed API quotas.
What ships with Eloqua ⇄ OpenSearch

Connect Eloqua and OpenSearch for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Eloqua or OpenSearch 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 OpenSearch record.

Observability

Monitoring

Track your Eloqua ⇄ OpenSearch 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 OpenSearch.

How the Eloqua and OpenSearch 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

OpenSearch

Integration surface
REST API over HTTP(S) with JSON payloads
Authentication
basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
Change detection
no native change feed; reads rely on queries with scroll or point-in-time polling
Capabilities
read · write
Rate limits
throughput bounded by cluster sizing rather than fixed API quotas
How it works

How to connect Eloqua to OpenSearch — 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 OpenSearch 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
    OpenSearch connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Eloqua and OpenSearch 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 ⇄ OpenSearch
    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 OpenSearch
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Eloqua and OpenSearch 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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ISO 27001
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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 384 integrations available for Eloqua and OpenSearch.

Popular · 8 of 384
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