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Database ⇄ CRM

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

Keep AWS Aurora MySQL 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 MySQL and Salesforce

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

Teams sync Salesforce with AWS Aurora MySQL to maintain an operational mirror of the CRM in a relational database. Accounts, Contacts, and Opportunities become Aurora Tables and Rows, so engineers query CRM data with SQL and push product or billing signals back into Salesforce without custom API plumbing.

Stacksync mirrors Cases, Campaigns, Tasks and Events, Products and Price Books from Salesforce into Stored procedures and triggers, Databases (schemas), Tables, Rows in AWS Aurora MySQL 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 Join Opportunities with application data in Aurora for pipeline forecasting queries.
  • 02 Keep Salesforce Leads and Campaigns enriched from data pipelines that write to database tables.
  • 03 Serve internal tools from Aurora Views over CRM data instead of consuming Salesforce API limits.
  • 04 Consolidate multiple Salesforce orgs into a single database for cross-org reporting after an acquisition.

Common sync patterns

CRM data in SQL

Salesforce Accounts, Contacts, and Opportunities replicate into Aurora Tables with Primary keys and indexes managed automatically.

Product-signal write-back

usage attributes written as Aurora Rows update the matching Salesforce Account and Contact records.

Case analytics

Salesforce Cases sync to Aurora for support-volume and resolution queries alongside operational data.

What you can sync between AWS Aurora MySQL 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 MySQL objects Salesforce objects How this pairing syncs
Views Can serve as read-only sync sources for derived or filtered datasets. Campaigns Marketing membership data; read out for attribution analysis in the warehouse. Views is specific to AWS Aurora MySQL and Campaigns to Salesforce — each maps to any object or custom field on the other side.
Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Tasks and Events Activity records; usually read-only in syncs to feed activity reporting. Foreign keys is specific to AWS Aurora MySQL and Tasks and Events to Salesforce — each maps to any object or custom field on the other side.
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Products and Price Books Catalog and pricing data; commonly mastered in an ERP and written into Salesforce. Stored procedures and triggers is specific to AWS Aurora MySQL and Products and Price Books to Salesforce — each maps to any object or custom field on the other side.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. Databases (schemas) is specific to AWS Aurora MySQL and Custom Objects to Salesforce — each maps to any object or custom field on the other side.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. Tables is specific to AWS Aurora MySQL and Accounts to Salesforce — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. Rows is specific to AWS Aurora MySQL and Contacts to Salesforce — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL 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.

AWS Aurora MySQL Salesforce Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

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

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

Rate-limit considerations

  • Salesforce: Daily API request allocations vary by edition and license count.
What ships with AWS Aurora MySQL ⇄ Salesforce

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL 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 MySQL 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 MySQL or Salesforce record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ 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 MySQL and Salesforce.

How the AWS Aurora MySQL and Salesforce connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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 MySQL 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 MySQL 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 MySQL connected
    Salesforce connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

AWS Aurora MySQL 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
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 481 integrations available for AWS Aurora MySQL and Salesforce.

Popular · 6 of 481
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