Two-way sync
Changes in Amazon Aurora or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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 Amazon Aurora, where it can be queried and joined like everything else.
Stacksync mirrors Tasks and Events, Products and Price Books, Custom Objects, Accounts from Salesforce into Primary and Foreign Keys, Read Replicas, Databases, Schemas in Amazon Aurora 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 Amazon Aurora, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Salesforce become tables in Amazon Aurora you can join with application data directly.
Signup, usage, or lifecycle changes written to Amazon Aurora 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.
| Amazon Aurora objects | Salesforce objects | |
|---|---|---|
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Tasks and Events Activity records; usually read-only in syncs to feed activity reporting. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | Products and Price Books Catalog and pricing data; commonly mastered in an ERP and written into Salesforce. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. | |
| Databases Logical databases within a cluster that scope a sync connection. | Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. | |
| Tables Relational tables synced bi-directionally at row level. | Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Salesforce connection.
Changes in Amazon Aurora or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Salesforce record.
Track your Amazon Aurora ⇄ Salesforce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora and Salesforce: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Columns and Data Types and Primary and Foreign Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Aurora and Salesforce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–Salesforce integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Salesforce. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling 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: Tasks and Events, Products and Price Books, Custom Objects, Accounts, plus custom fields where Salesforce exposes them. On the Amazon Aurora side: Primary and Foreign Keys, Read Replicas, Databases, Schemas. 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.
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 Amazon Aurora and Salesforce.