Two-way sync
Changes in AWS Aurora MySQL or HubSpot instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL 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 MySQL, where it can be queried and joined like everything else.
Stacksync mirrors Owner, Pipeline, Stages, Audit from HubSpot into Columns, Primary keys and indexes, Views, Foreign keys 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 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.
Signup, usage, or lifecycle changes written to AWS Aurora MySQL sync onto the matching records in HubSpot, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the HubSpot API, limits, and retries.
Field and stage updates in HubSpot arrive as row changes in AWS Aurora MySQL, 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 MySQL objects | HubSpot objects | |
|---|---|---|
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Product Synced with incremental and full sync per the Stacksync docs. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Ticket Synced with incremental and full sync per the Stacksync docs. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Quote Synced with incremental and full sync per the Stacksync docs. | |
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | Goal Synced with incremental and full sync per the Stacksync docs. | |
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Owner Synced with incremental and full sync per the Stacksync docs. | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | Pipeline Synced with incremental and full sync per the Stacksync docs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–HubSpot connection.
Changes in AWS Aurora MySQL or HubSpot instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL 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 MySQL or HubSpot record.
Track your AWS Aurora MySQL ⇄ HubSpot sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL 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 MySQL 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 MySQL 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 MySQL and HubSpot: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Databases (schemas) and Tables), 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 AWS Aurora MySQL and HubSpot connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–HubSpot integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL 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 MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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: Owner, Pipeline, Stages, Audit, plus custom fields where HubSpot exposes them. On the AWS Aurora MySQL side: Columns, Primary keys and indexes, Views, Foreign keys. 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 AWS Aurora MySQL and HubSpot.