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Database ⇄ CRM

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

Keep AWS Aurora PostgreSQL and Salesforce 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

Treat Salesforce like part of your database: its records live in AWS Aurora PostgreSQL as real tables, and writes in either place sync to the other in seconds.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in AWS Aurora PostgreSQL, where it can be queried and joined like everything else.

Stacksync mirrors Cases, Campaigns, Tasks and Events, Products and Price Books from Salesforce into Columns, Primary keys and constraints, Views and materialized views, Foreign keys in AWS Aurora PostgreSQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Salesforce with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • Trigger provisioning or billing changes in an operational database when an Opportunity moves to closed-won.
  • Consolidate multiple Salesforce orgs into a single database for cross-org reporting after an acquisition.
  • Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
  • Sync JSONB-heavy application data into structured objects in downstream business systems.

Product events onto CRM records

Signup, usage, or lifecycle changes written to AWS Aurora PostgreSQL sync onto the matching records in Salesforce, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Salesforce API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in Salesforce arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.

What you can sync between AWS Aurora PostgreSQL and Salesforce

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 objects
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Cases Support records; synced with help desk tools or internal databases for escalation workflows.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Campaigns Marketing membership data; read out for attribution analysis in the warehouse.
Replication slots and publications The logical replication objects that power log-based CDC. Tasks and Events Activity records; usually read-only in syncs to feed activity reporting.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Products and Price Books Catalog and pricing data; commonly mastered in an ERP and written into Salesforce.
Tables The core sync unit; rows are matched across systems by primary key. Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated.
What ships with AWS Aurora PostgreSQL ⇄ Salesforce

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Salesforce 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 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 record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Salesforce 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.

How the AWS Aurora PostgreSQL and Salesforce 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

Integration surface
REST, SOAP, and Bulk APIs
Authentication
OAuth login via a Salesforce user (browser-based authorization flow); requires "API Enabled" permission for polling mode, plus "Author Apex" and "Customize Application" OR "Modify All Data" for trigger mode
Change detection
Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting)
Capabilities
read · write · CDC
Rate limits
Daily API request allocations vary by edition and license count.
Salesforce setup guide
How it works

How to connect AWS Aurora PostgreSQL to Salesforce — 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 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 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora PostgreSQL and Salesforce integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for AWS Aurora PostgreSQL and Salesforce.

Popular · 8 of 386
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