Two-way sync
Changes in AWS Aurora MySQL or Salesforce instantly reflect in both systems. No stale data, no manual imports.
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.
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 MySQL, where it can be queried and joined like everything else.
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.
Field and stage updates in Salesforce arrive as row changes in AWS Aurora MySQL, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Salesforce become tables in AWS Aurora MySQL you can join with application data directly.
Signup, usage, or lifecycle changes written to AWS Aurora MySQL sync onto the matching records in Salesforce, giving go-to-market teams live product context.
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 | |
|---|---|---|
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Salesforce connection.
Changes in AWS Aurora MySQL or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL or Salesforce data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora MySQL or Salesforce record.
Track your AWS Aurora MySQL ⇄ Salesforce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Salesforce.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Salesforce: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Views and Foreign keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL and Salesforce. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. On Salesforce: Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Salesforce side: Cases, Campaigns, Tasks and Events, Products and Price Books, plus custom fields where Salesforce exposes them. On the AWS Aurora MySQL side: Stored procedures and triggers, Databases (schemas), Tables, Rows. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for AWS Aurora MySQL and Salesforce: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in Salesforce arrive as row changes in AWS Aurora MySQL, ready to drive jobs and notifications.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora MySQL and Salesforce.