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Database ⇄ Marketing

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

Keep Elasticsearch 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 Elasticsearch and Eloqua

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

Stacksync mirrors Forms and Form Submits, Contact Lists and Segments, Contacts, Accounts from Eloqua into Documents, Index mappings, Aliases, Data streams in Elasticsearch 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 Elasticsearch, 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 Mirror support tickets into an index used for full-text search and agent-assist tooling.
  • 02 Feed enriched customer records into an index used for vector or hybrid search in AI applications.
  • 03 Export email opens, clicks, form submits, and bounces from the Bulk API Activities export into a warehouse for lead scoring and multi-touch attribution.
  • 04 Load purchase or product-usage records into Custom Data Objects linked to Contacts so nurture campaigns branch on behavior mastered in another system.

Common sync patterns

Engagement and results next to the customer

Opens, clicks, sends, RSVPs, or ad activity from Eloqua land in Elasticsearch 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 Elasticsearch, 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 Elasticsearch 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.

Elasticsearch objects Eloqua objects How this pairing syncs
Data streams Append-only targets for time-series or event data pushed from source systems. Campaigns Multi-step campaign-canvas assets managed through the Application REST API; campaign membership and response data read out for attribution reporting. Data streams is specific to Elasticsearch and Campaigns to Eloqua — each maps to any object or custom field on the other side.
Ingest pipelines Server-side transforms applied to documents as a sync writes them. Emails Email creative and email-group assets managed via the Application REST API; usually read for reporting rather than written by a sync. Ingest pipelines is specific to Elasticsearch and Emails to Eloqua — each maps to any object or custom field on the other side.
Index templates Reusable settings and mappings applied automatically to new indices a sync creates. 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. Index templates is specific to Elasticsearch and Forms and Form Submits to Eloqua — each maps to any object or custom field on the other side.
Indices Target containers for synced records; each holds a table-like collection of JSON documents. 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. Indices is specific to Elasticsearch and Contact Lists and Segments to Eloqua — each maps to any object or custom field on the other side.
Documents The unit of sync; JSON records created, updated, and deleted by _id. 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. Documents is specific to Elasticsearch and Contacts to Eloqua — each maps to any object or custom field on the other side.
Index mappings Field type definitions that determine how synced fields are indexed and queried. 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 mappings is specific to Elasticsearch and Accounts to Eloqua — each maps to any object or custom field on the other side.

How changes propagate between Elasticsearch 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.

Elasticsearch Eloqua Interval-based propagation

DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.

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

Eloqua Elasticsearch 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 Elasticsearch through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
  • 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 Elasticsearch ⇄ Eloqua

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or Eloqua record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Elasticsearch and Eloqua.

How the Elasticsearch and Eloqua connectors work

Elasticsearch

Integration surface
REST API (JSON over HTTP)
Authentication
API keys or basic authentication; Elastic Cloud also issues service account tokens
Change detection
Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
Capabilities
read · write
Rate limits
No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity

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 Elasticsearch 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 Elasticsearch 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
    Elasticsearch connected
    Eloqua connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Elasticsearch 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 480 integrations available for Elasticsearch and Eloqua.

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