Two-way sync
Changes in AWS Aurora PostgreSQL or HubSpot instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and HubSpot 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 Stages, Audit, Contact, Company from HubSpot into Replication slots and publications, Databases and schemas, Tables, Rows 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 HubSpot 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 HubSpot arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from HubSpot become tables in AWS Aurora PostgreSQL you can join with application data directly.
Signup, usage, or lifecycle changes written to AWS Aurora PostgreSQL sync onto the matching records in HubSpot, 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 PostgreSQL objects | HubSpot objects | |
|---|---|---|
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Quote Synced with incremental and full sync per the Stacksync docs. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Goal Synced with incremental and full sync per the Stacksync docs. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Owner Synced with incremental and full sync per the Stacksync docs. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Pipeline Synced with incremental and full sync per the Stacksync docs. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Stages Synced with incremental and full sync per the Stacksync docs. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Audit Synced with incremental and full sync per the Stacksync docs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–HubSpot connection.
Changes in AWS Aurora PostgreSQL or HubSpot instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or HubSpot 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 HubSpot record.
Track your AWS Aurora PostgreSQL ⇄ HubSpot sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and HubSpot.
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 HubSpot 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 HubSpot 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 HubSpot: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Views and materialized views and Foreign keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 HubSpot 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 HubSpot connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–HubSpot integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and HubSpot. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On HubSpot: Records: incremental near-real-time change tracking. Associations: HubSpot has no native association CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the HubSpot side: Stages, Audit, Contact, Company, plus custom fields where HubSpot exposes them. On the AWS Aurora PostgreSQL side: Replication slots and publications, Databases and schemas, Tables, Rows. Stacksync auto-detects both schemas and converts types between the two systems.
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 HubSpot.