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Database ⇄ Marketing

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

Keep AWS Aurora 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 AWS Aurora PostgreSQL and Salesforce Marketing Cloud

Give your team Salesforce Marketing Cloud's contacts, campaigns, and engagement in AWS Aurora 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 AWS Aurora PostgreSQL, hard to get into campaigns without manual exports.

Stacksync mirrors Tracking Events, Transactional Sends, Data Extensions, Contacts / Subscribers from Salesforce Marketing Cloud into Replication slots and publications, Databases and schemas, Tables, Rows in AWS Aurora 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 AWS Aurora 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 Feed operational dashboards from a read replica while the writer handles sync traffic.
  • 02 Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
  • 03 Land tracking events - Sent, Open, Click, Bounce, Unsubscribe - from the SOAP tracking objects or Automation Studio Data Views into a warehouse table for per-send deliverability reporting.
  • 04 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.

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 Salesforce Marketing Cloud like a database

Contacts, leads, audiences, and campaign metrics from Salesforce Marketing Cloud live in AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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.

What you can sync between AWS Aurora 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.

AWS Aurora PostgreSQL objects Salesforce Marketing Cloud objects How this pairing syncs
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. 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. Columns is specific to AWS Aurora PostgreSQL and Data Extensions to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. 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 keys and constraints is specific to AWS Aurora PostgreSQL and Contacts / Subscribers to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. 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. Views and materialized views is specific to AWS Aurora PostgreSQL and Journeys (Journey Builder) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. 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. Foreign keys is specific to AWS Aurora PostgreSQL and Content Assets (Content Builder) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Replication slots and publications The logical replication objects that power log-based CDC. 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. Replication slots and publications is specific to AWS Aurora PostgreSQL and Automations (Automation Studio) to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. 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. Databases and schemas is specific to AWS Aurora PostgreSQL and Tracking Events to Salesforce Marketing Cloud — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora 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.

AWS Aurora PostgreSQL Salesforce Marketing Cloud Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

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

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

Rate-limit considerations

  • 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 AWS Aurora PostgreSQL ⇄ Salesforce Marketing Cloud

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

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

Real-time

Two-way sync

Changes in AWS Aurora 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 AWS Aurora 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 AWS Aurora PostgreSQL or Salesforce Marketing Cloud record.

Observability

Monitoring

Track your AWS Aurora 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 AWS Aurora PostgreSQL and Salesforce Marketing Cloud.

How the AWS Aurora PostgreSQL and Salesforce Marketing Cloud connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

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

    Choose tables

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

AWS Aurora 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 412 integrations available for AWS Aurora PostgreSQL and Salesforce Marketing Cloud.

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