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Database ⇄ Marketing

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

Keep PostgreSQL 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 PostgreSQL and Salesforce Marketing Cloud

Give your team Salesforce Marketing Cloud's contacts, campaigns, and engagement in PostgreSQL: 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 PostgreSQL, 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 Views, Materialized Views, Schemas, Columns in PostgreSQL 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 PostgreSQL, 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 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
  • 02 Let an application write to its own database and have those rows appear as records in business systems in near real time
  • 03 Sync Contacts and Subscriber Key subscription status between Marketing Cloud and a CRM so suppression and opt-in state stay current before the next send.
  • 04 Stream Event Notification Service callbacks for transactional sends, bounces, opens, and clicks into a database in near real time alongside CRM contact records.

Common sync patterns

Engagement and results next to the customer

Opens, clicks, sends, RSVPs, or ad activity from Salesforce Marketing Cloud land in PostgreSQL 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 Salesforce Marketing Cloud arrives as a row change in PostgreSQL, 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 PostgreSQL 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.

PostgreSQL objects Salesforce Marketing Cloud objects How this pairing syncs
Materialized Views Precomputed result sets synced outward on a refresh schedule. 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. Materialized Views is specific to PostgreSQL and Content Assets (Content Builder) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Schemas Namespaces that scope which tables a sync reads and writes. 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. Schemas is specific to PostgreSQL and Automations (Automation Studio) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Columns Field-level mapping targets; types are mapped to the connected system's field types. 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. Columns is specific to PostgreSQL and Tracking Events to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. Transactional Sends Triggered and transactional Email/SMS delivered through the Messaging API (/messaging/v1/email/messages/{key}); the Event Notification Service reports each message's disposition (delivered, bounced, opened, clicked). Primary and Unique Keys is specific to PostgreSQL and Transactional Sends to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. 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. JSONB Columns is specific to PostgreSQL and Data Extensions 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. 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. Sequences is specific to PostgreSQL and Contacts / Subscribers to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.

How changes propagate between PostgreSQL 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.

PostgreSQL Salesforce Marketing Cloud Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

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

Salesforce Marketing Cloud PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
  • 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 PostgreSQL ⇄ Salesforce Marketing Cloud

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

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

Real-time

Two-way sync

Changes in PostgreSQL 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 PostgreSQL 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 PostgreSQL or Salesforce Marketing Cloud record.

Observability

Monitoring

Track your PostgreSQL ⇄ 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 PostgreSQL and Salesforce Marketing Cloud.

How the PostgreSQL and Salesforce Marketing Cloud connectors work

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide

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 PostgreSQL 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 PostgreSQL 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
    PostgreSQL connected
    Salesforce Marketing Cloud connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

PostgreSQL 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.

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 505 integrations available for PostgreSQL and Salesforce Marketing Cloud.

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