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Database ⇄ CRM

Amazon RDS to Salesforce integration — real-time, two-way sync

Keep Amazon RDS 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 Amazon RDS and Salesforce

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

Salesforce with Amazon RDS is the standard operational-mirror pattern: Accounts, Contacts, Leads, and Opportunities become rows in RDS Tables that engineers query and update with SQL. Changes flow both ways, so internal applications read and write CRM data without building against the Salesforce API.

Stacksync mirrors Campaigns, Tasks and Events, Products and Price Books, Custom Objects from Salesforce into Read Replicas, Stored Procedures, Databases, Schemas in Amazon RDS 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

  • 01 Power in-app experiences from an RDS copy of Accounts and Contacts instead of live API calls.
  • 02 Join Opportunities with product usage tables in RDS to build pipeline and expansion reports.
  • 03 Update Salesforce Cases in bulk via SQL writes rather than per-record API operations.
  • 04 Trigger provisioning or billing changes in an operational database when an Opportunity moves to closed-won.

Common sync patterns

CRM mirror

Salesforce Accounts, Contacts, and Opportunities sync into Amazon RDS Tables for SQL access.

Lead ingestion

Rows inserted into an RDS Table create Leads in Salesforce from product signups or internal systems.

Case analytics

Salesforce Cases and Campaigns replicate into RDS Views for support and marketing reporting.

What you can sync between Amazon RDS 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.

Amazon RDS objects Salesforce objects How this pairing syncs
Primary and Unique Keys Match keys for idempotent upserts. Tasks and Events Activity records; usually read-only in syncs to feed activity reporting. Primary and Unique Keys is specific to Amazon RDS and Tasks and Events to Salesforce — each maps to any object or custom field on the other side.
Read Replicas Low-impact read endpoints often used as the source side of a sync. Products and Price Books Catalog and pricing data; commonly mastered in an ERP and written into Salesforce. Read Replicas is specific to Amazon RDS and Products and Price Books to Salesforce — each maps to any object or custom field on the other side.
Stored Procedures Engine-specific logic that can react to synced rows. Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. Stored Procedures is specific to Amazon RDS and Custom Objects to Salesforce — each maps to any object or custom field on the other side.
Databases Engine-level databases on the instance that scope a sync's reads and writes. Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. Databases is specific to Amazon RDS and Accounts to Salesforce — each maps to any object or custom field on the other side.
Schemas Namespaces within a database used to isolate synced tables. Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. Schemas is specific to Amazon RDS and Contacts to Salesforce — each maps to any object or custom field on the other side.
Tables The core sync target; rows map to records in connected SaaS systems. Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. Tables is specific to Amazon RDS and Leads to Salesforce — each maps to any object or custom field on the other side.

How changes propagate between Amazon RDS and Salesforce

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.

Amazon RDS Salesforce Sub-second propagation

DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.

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

Salesforce Amazon RDS Sub-second propagation

DetectionChanges in Salesforce are captured at the source via change data capture — no polling loop against its API. Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting).

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

Rate-limit considerations

  • Amazon RDS: No API rate limits; throughput depends on instance class, storage IOPS, and connection limits.
  • Salesforce: Daily API request allocations vary by edition and license count.
What ships with Amazon RDS ⇄ Salesforce

Connect Amazon RDS and Salesforce for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Salesforce connection.

Real-time

Two-way sync

Changes in Amazon RDS or Salesforce instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon RDS 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 Amazon RDS or Salesforce record.

Observability

Monitoring

Track your Amazon RDS ⇄ Salesforce sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon RDS and Salesforce.

How the Amazon RDS and Salesforce connectors work

Amazon RDS

Integration surface
SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)
Authentication
Database credentials over SSL/TLS, or IAM database authentication on supported engines
Change detection
Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance class, storage IOPS, and connection limits

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 Amazon RDS 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 Amazon RDS 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
    Amazon RDS connected
    Salesforce connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon RDS 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 · Amazon RDS ⇄ 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
    Amazon RDS Salesforce
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon RDS and Salesforce 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
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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 485 integrations available for Amazon RDS and Salesforce.

Popular · 7 of 485
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