Real-time
Two-way sync
Changes in Eloqua or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Marketing ⇄ Database
Eloqua to Postgres Heroku integration — real-time, two-way sync
Keep Eloqua and Postgres Heroku in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Eloqua and Postgres Heroku
Give your team Eloqua's contacts, campaigns, and engagement in Postgres Heroku: 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 Postgres Heroku, hard to get into campaigns without manual exports.
Stacksync mirrors Accounts, Custom Data Objects, Activities, Campaigns from Eloqua into Schemas, Primary and Unique Keys, JSONB Columns, Sequences in Postgres Heroku 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 Postgres Heroku, 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 Heroku Postgres into a warehouse for reporting without running ETL dynos
- 02 Keep several Heroku app databases aligned with one system of record
- 03 Load purchase or product-usage records into Custom Data Objects linked to Contacts so nurture campaigns branch on behavior mastered in another system.
- 04 Add or remove Contacts from shared Contact Lists and Segments based on lifecycle stage computed downstream in a database.
Common sync patterns
Build audiences from your own data
Segments computed in Postgres Heroku 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 Postgres Heroku 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 Postgres Heroku, so scoring, jobs, and notifications run in the tooling your team already uses.
What you can sync between Eloqua and Postgres Heroku
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 | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| 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 Standard Postgres tables; the primary two-way sync target for app data. | Contacts is specific to Eloqua and Tables to Postgres Heroku — 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. | Views Read-side projections exposed to outbound syncs. | Accounts is specific to Eloqua and Views to Postgres Heroku — 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. | Materialized Views Precomputed result sets synced outward on refresh. | Custom Data Objects is specific to Eloqua and Materialized Views to Postgres Heroku — 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. | Schemas Namespaces that scope which tables a sync reads and writes. | Activities is specific to Eloqua and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Campaigns Multi-step campaign-canvas assets managed through the Application REST API; campaign membership and response data read out for attribution reporting. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Campaigns is specific to Eloqua and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Emails Email creative and email-group assets managed via the Application REST API; usually read for reporting rather than written by a sync. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Emails is specific to Eloqua and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Eloqua and Postgres Heroku
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 Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Eloqua Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
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.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Eloqua ⇄ Postgres Heroku
Connect Eloqua and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Eloqua–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Eloqua or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Eloqua ⇄ Postgres Heroku 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 Postgres Heroku.
How the Eloqua and Postgres Heroku 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
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Eloqua to Postgres Heroku — 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.
- 01
Connect your apps
Authenticate Eloqua and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Eloqua
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Eloqua and Postgres Heroku 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.
objects · Eloqua ⇄ Postgres HerokuCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Eloqua Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Eloqua and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Eloqua and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Eloqua's Contacts and Accounts), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Postgres Heroku side: Schemas, Primary and Unique Keys, JSONB Columns, Sequences, plus custom fields where Postgres Heroku exposes them. On the Eloqua side: Accounts, Custom Data Objects, Activities, Campaigns. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Eloqua and Postgres Heroku: Build audiences from your own data; Engagement and results next to the customer; React to marketing changes as row changes. Segments computed in Postgres Heroku 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.
-
Eloqua: 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. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
-
Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Eloqua: The Bulk API is an asynchronous staging workflow (define a sync definition, stage the data, sync, poll status, then retrieve) rather than an instantaneous call. Stacksync's field mapping accounts for these differences between Eloqua and Postgres Heroku without custom code.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 408 integrations available for Eloqua and Postgres Heroku.
Popular · 8 of 408
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Eloqua ⇄ Elasticsearch -
Eloqua ⇄ Google Cloud Spanner - Eloqua ⇄ Google Cloud SQL
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Eloqua ⇄ IBM AS/400 -
Postgres Heroku ⇄ Cvent -
Postgres Heroku ⇄ Demandbase -
Postgres Heroku ⇄ Iterable -
Postgres Heroku ⇄ Bingads
No integrations match .
