Two-way sync
Changes in Amazon Aurora or Intercom instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora and Intercom 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 Data Events, Custom Data Attributes, Tags, Segments from Intercom 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 Intercom 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 Intercom arrive as row changes in Amazon Aurora, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Intercom 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 Intercom, 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 | Intercom objects | |
|---|---|---|
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Articles Help center content is accessible via API for knowledge sync and audits. | |
| Databases Logical databases within a cluster that scope a sync connection. | Contacts A single contact model covers both users and leads, distinguished by a role attribute. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Companies Company records group contacts and carry plan and account attributes used in segmentation. | |
| Tables Relational tables synced bi-directionally at row level. | Conversations Support and sales threads sync outward for analytics and CRM context. | |
| Views Read-only query-backed sources for downstream syncs. | Tickets Structured ticket records track issues alongside conversational threads. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Data Events Behavioral events pushed in from product databases trigger messages and flows. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Intercom connection.
Changes in Amazon Aurora or Intercom instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Intercom 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 Intercom record.
Track your Amazon Aurora ⇄ Intercom sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Intercom.
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 Intercom 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 Intercom 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 Intercom: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Read Replicas and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Intercom: Webhook topic subscriptions for contact, company, and conversation events, plus polling for backfill. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Intercom side: Data Events, Custom Data Attributes, Tags, Segments, plus custom fields where Intercom 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.
Common patterns for Amazon Aurora and Intercom: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in Intercom arrive as row changes in Amazon Aurora, ready to drive jobs and notifications.
Amazon Aurora: MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS. Authentication: Database credentials or IAM database authentication. Intercom: REST API. Authentication: OAuth 2.0 for public apps or a workspace access token. Stacksync manages authentication, retries, and rate limits on both sides.
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 Intercom.