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Database ⇄ CRM

AWS Aurora MySQL to HubSpot integration — real-time, two-way sync

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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora MySQL and HubSpot

Treat HubSpot like part of your database: its records live in AWS Aurora MySQL as real tables, and writes in either place sync to the other in seconds.

Product and RevOps teams sync HubSpot with AWS Aurora MySQL to keep an operational mirror of the CRM in their own database. HubSpot Contacts, Companies, and Deals become Aurora tables that applications query with SQL, and rows written in Aurora flow back to HubSpot so product events reach sales.

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.

Common use cases

  • 01 Show HubSpot Deal and Ticket status inside internal apps that already read from Aurora.
  • 02 Score leads by joining HubSpot Contacts with behavioral data in Aurora tables.
  • 03 Keep Product and Line Item catalogs consistent between the application database and HubSpot.
  • 04 Write warehouse-computed lead and account scores back to HubSpot properties on a schedule or in near real time.

Common sync patterns

CRM mirror in SQL

HubSpot Contact, Company, and Deal records replicate into Aurora tables for application and reporting use.

Product-to-CRM writeback

usage attributes stored in Aurora rows update HubSpot Contact and Company properties for scoring and segmentation.

Pipeline reporting tables

Deals with Line Items and Products sync to Aurora for revenue analysis alongside operational data.

What you can sync between AWS Aurora MySQL and HubSpot

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 How this pairing syncs
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Product Synced with incremental and full sync per the Stacksync docs. Databases (schemas) is specific to AWS Aurora MySQL and Product to HubSpot — each maps to any object or custom field on the other side.
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. Tables is specific to AWS Aurora MySQL and Ticket to HubSpot — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Quote Synced with incremental and full sync per the Stacksync docs. Rows is specific to AWS Aurora MySQL and Quote to HubSpot — each maps to any object or custom field on the other side.
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. Columns is specific to AWS Aurora MySQL and Goal to HubSpot — each maps to any object or custom field on the other side.
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. Primary keys and indexes is specific to AWS Aurora MySQL and Owner to HubSpot — each maps to any object or custom field on the other side.
Views Can serve as read-only sync sources for derived or filtered datasets. Pipeline Synced with incremental and full sync per the Stacksync docs. Views is specific to AWS Aurora MySQL and Pipeline to HubSpot — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL and HubSpot

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

AWS Aurora MySQL HubSpot Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

DeliveryEach detected change is written to HubSpot through its API, with automatic retries and rate-limit backoff.

HubSpot AWS Aurora MySQL Sub-second propagation

DetectionHubSpot pushes changes as they happen — webhook events backed by change data capture. Records: incremental near-real-time change tracking.

DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • HubSpot: Request limits vary by subscription tier and API type.
What ships with AWS Aurora MySQL ⇄ HubSpot

Connect AWS Aurora MySQL and HubSpot for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–HubSpot connection.

Real-time

Two-way sync

Changes in AWS Aurora MySQL or HubSpot instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL or HubSpot data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single AWS Aurora MySQL or HubSpot record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ HubSpot sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and HubSpot.

How the AWS Aurora MySQL and HubSpot connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

HubSpot

Integration surface
REST API (CRM v3)
Authentication
OAuth (choose HubSpot account and authorize Stacksync); requires a HubSpot 'Super Admin' to grant access; optional "Grant access to sensitive fields" checkbox for sensitive/highly sensitive fields
Change detection
Records: incremental near-real-time change tracking. Associations: HubSpot has no native association CDC
Capabilities
read · write · CDC · webhooks
Rate limits
Request limits vary by subscription tier and API type.
HubSpot setup guide
How it works

How to connect AWS Aurora MySQL to HubSpot — three steps, no code

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.

  1. 01

    Connect your apps

    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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora MySQL connected
    HubSpot connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora MySQL ⇄ HubSpot
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS Aurora MySQL HubSpot
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL and HubSpot integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 480 integrations available for AWS Aurora MySQL and HubSpot.

Popular · 8 of 480
All AWS Aurora MySQL integrations All HubSpot integrations Browse all integrations
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