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Database ⇄ Marketing

Postgres Heroku to Salesforce Marketing Cloud integration — real-time, two-way sync

Keep Postgres Heroku and Salesforce Marketing Cloud 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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Why teams connect Postgres Heroku and Salesforce Marketing Cloud

Give your team Salesforce Marketing Cloud's contacts, campaigns, and engagement in Postgres Heroku: query them with SQL, push audiences built from your own data back to Salesforce Marketing Cloud, and skip the marketing API.

Salesforce Marketing Cloud 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 Data Extensions, Contacts / Subscribers, Journeys (Journey Builder), Content Assets (Content Builder) from Salesforce Marketing Cloud into Sequences, Follower Databases, Tables, Views 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 Salesforce Marketing Cloud to drive campaigns and ads, with Salesforce Marketing Cloud kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Reflect billing and subscription records into the app database so product logic reads local rows
  • 02 Expose CRM objects as Postgres tables the Heroku application can query and join directly
  • 03 Stream Event Notification Service callbacks for transactional sends, bounces, opens, and clicks into a database in near real time alongside CRM contact records.
  • 04 Two-way sync Data Extension rows between Marketing Cloud and a Postgres database or warehouse so audience attributes and opt-out state stay aligned in both systems.

Common sync patterns

Query Salesforce Marketing Cloud like a database

Contacts, leads, audiences, and campaign metrics from Salesforce Marketing Cloud live in Postgres Heroku 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 Postgres Heroku from product usage, orders, or account status sync into Salesforce Marketing Cloud 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 Salesforce Marketing Cloud land in Postgres Heroku beside the matching customer record, ready for reporting and revenue attribution.

What you can sync between Postgres Heroku and Salesforce Marketing Cloud

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.

Postgres Heroku objects Salesforce Marketing Cloud objects How this pairing syncs
Schemas Namespaces that scope which tables a sync reads and writes. Data Extensions Custom relational tables that store subscriber, audience, and arbitrary business data; rows are read via GET /data/v1/customobjectdata or SOAP Retrieve and upserted via the synchronous rowset PUT or the async /data/v1/async/dataextensions rows endpoint. This is the primary two-way surface. Schemas is specific to Postgres Heroku and Data Extensions to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Primary and Unique Keys Match keys for idempotent upserts from connected systems. Contacts / Subscribers The contact model keyed by Subscriber Key, holding channel addresses and subscription status; managed through the Contacts API (/contacts/v1/contacts) and the SOAP Subscriber object, and referenced by every send and journey. Primary and Unique Keys is specific to Postgres Heroku and Contacts / Subscribers to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Journeys (Journey Builder) Multi-step automated flows read and managed via /interaction/v1/interactions; contacts are injected by firing an entry event to /interaction/v1/events with an EventDefinitionKey and contact data. JSONB Columns is specific to Postgres Heroku and Journeys (Journey Builder) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Sequences Generate surrogate keys for rows created by inbound syncs. Content Assets (Content Builder) Emails, templates, images, and reusable content blocks stored in Content Builder and read or written via /asset/v1/content/assets, used to compose the messages a journey or send delivers. Sequences is specific to Postgres Heroku and Content Assets (Content Builder) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Follower Databases Heroku-managed read replicas usable as low-impact sync sources. Automations (Automation Studio) Scheduled or triggered workflows of import, query, extract, and send activities managed via /automation/v1/automations; SQL Query Activities read Data Views and write results into Data Extensions. Follower Databases is specific to Postgres Heroku and Automations (Automation Studio) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Tables Standard Postgres tables; the primary two-way sync target for app data. Tracking Events Sent, Open, Click, Bounce, Unsubscribe, and NotSent events retrieved through the SOAP tracking objects (SentEvent, OpenEvent, ClickEvent, BounceEvent) or the Automation Studio Data Views (_Sent, _Open, _Click, _Bounce) - the queryable record of engagement per send. Tables is specific to Postgres Heroku and Tracking Events to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.

How changes propagate between Postgres Heroku and Salesforce Marketing Cloud

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.

Postgres Heroku Salesforce Marketing Cloud 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 Salesforce Marketing Cloud through its API, with automatic retries and rate-limit backoff.

Salesforce Marketing Cloud Postgres Heroku Sub-second propagation

DetectionSalesforce Marketing Cloud notifies Stacksync of record changes through webhook events. The Event Notification Service (ENS) issues HTTPS POST callbacks for transactional Email and SMS events (sent, bounce, open, click) once a callback.

DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
  • Salesforce Marketing Cloud: Salesforce does not publish fixed numeric REST rate limits; requests are throttled per account and can return HTTP 429, so backoff is advised. SOAP Retrieve returns at most 2,500 records per call and pages via ContinueRequest with the prior RequestID. Bulk Data Extension writes use the async rows API to queue inserts in the background.
What ships with Postgres Heroku ⇄ Salesforce Marketing Cloud

Connect Postgres Heroku and Salesforce Marketing Cloud for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Salesforce Marketing Cloud connection.

Real-time

Two-way sync

Changes in Postgres Heroku or Salesforce Marketing Cloud instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Postgres Heroku or Salesforce Marketing Cloud 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 Postgres Heroku or Salesforce Marketing Cloud record.

Observability

Monitoring

Track your Postgres Heroku ⇄ Salesforce Marketing Cloud sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Salesforce Marketing Cloud.

How the Postgres Heroku and Salesforce Marketing Cloud connectors work

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

Salesforce Marketing Cloud

Integration surface
Two APIs on tenant-specific endpoints: a REST API (JSON over HTTPS) for Data Extensions, Journeys, Contacts, Content Builder, and Automations, plus a legacy SOAP API (ExactTarget WSDL) for tracking events and bulk Retrieve.
Authentication
OAuth 2.0 via an Installed Package (Client ID + Client Secret). Server-to-server uses the client_credentials grant and web apps use authorization_code, both against {subdomain}.auth.marketingcloudapis.com/v2/token. The 20-minute access token response also returns the account's rest_instance_url and soap_instance_url.
Change detection
The Event Notification Service (ENS) issues HTTPS POST callbacks for transactional Email and SMS events (sent, bounce, open, click) once a callback URL and subscription are registered and verified. There is no general data-change feed, so Data Extension and Data View syncs poll by date fields.
Capabilities
read · write · webhooks
Rate limits
Salesforce does not publish fixed numeric REST rate limits; requests are throttled per account and can return HTTP 429, so backoff is advised. SOAP Retrieve returns at most 2,500 records per call and pages via ContinueRequest with the prior RequestID. Bulk Data Extension writes use the async rows API to queue inserts in the background.
How it works

How to connect Postgres Heroku to Salesforce Marketing Cloud — 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 Postgres Heroku and Salesforce Marketing Cloud 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
    Postgres Heroku connected
    Salesforce Marketing Cloud connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Postgres Heroku and Salesforce Marketing Cloud 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 · Postgres Heroku ⇄ Salesforce Marketing Cloud
    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
    Postgres Heroku Salesforce Marketing Cloud
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Postgres Heroku and Salesforce Marketing Cloud 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.

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 Postgres Heroku and Salesforce Marketing Cloud.

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