Two-way sync
Changes in AWS Aurora PostgreSQL or Intercom instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL, where it can be queried and joined like everything else.
Stacksync mirrors Conversations, Tickets, Data Events, Custom Data Attributes from Intercom into Rows, Columns, Primary keys and constraints, Views and materialized views in AWS Aurora PostgreSQL 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.
Signup, usage, or lifecycle changes written to AWS Aurora PostgreSQL sync onto the matching records in Intercom, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Intercom API, limits, and retries.
Field and stage updates in Intercom arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.
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 PostgreSQL objects | Intercom objects | |
|---|---|---|
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Custom Data Attributes Typed custom fields on contacts and companies hold synced billing and usage data. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Tags Labels applied to contacts, companies, and conversations sync for routing and reporting. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Segments Saved audience definitions are readable for targeting parity across tools. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Admins & Teams Teammate records map conversation ownership to CRM users. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Articles Help center content is accessible via API for knowledge sync and audits. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Contacts A single contact model covers both users and leads, distinguished by a role attribute. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Intercom connection.
Changes in AWS Aurora PostgreSQL or Intercom instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Intercom record.
Track your AWS Aurora PostgreSQL ⇄ Intercom sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Intercom: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Rows and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. 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.
Intercom: Conversations are composed of nested conversation parts (messages, notes, assignments), which matters when replicating full thread history. AWS Aurora PostgreSQL: Replication slots retain WAL for their consumers, so an interrupted CDC sync can resume without losing changes. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Intercom without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means AWS Aurora PostgreSQL and Intercom records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Intercom connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Intercom integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Intercom. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 PostgreSQL and Intercom.