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Database ⇄ CRM

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

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.

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

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Why teams connect AWS Aurora PostgreSQL and HubSpot

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

Teams connect HubSpot to AWS Aurora PostgreSQL to give product and data teams an operational mirror of the CRM. Contact, Company, and Deal records sync into Aurora tables that applications can read and write with SQL, and changes flow back to HubSpot in both directions.

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.

Common use cases

  • 01 Let internal apps update HubSpot Contacts through SQL writes instead of API integration code.
  • 02 Join Deals and Tickets with product tables in Aurora for churn and expansion analysis.
  • 03 Maintain Company records from a PostgreSQL customer master as the source of truth.
  • 04 Sync HubSpot Tickets with an internal support database to unify service reporting across channels.

Common sync patterns

CRM as tables

HubSpot Contact, Company, and Deal records replicate into Aurora PostgreSQL rows for application and analytics access.

Product-usage sync

scores computed in Aurora tables write back to HubSpot Contact and Company properties for segmentation.

Deal line detail

Deal, Line Item, and Product records sync to Aurora so revenue views reflect what reps actually quoted.

What you can sync between AWS Aurora PostgreSQL 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 PostgreSQL objects HubSpot objects How this pairing syncs
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. Views and materialized views is specific to AWS Aurora PostgreSQL and Quote to HubSpot — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Goal Synced with incremental and full sync per the Stacksync docs. Foreign keys is specific to AWS Aurora PostgreSQL and Goal to HubSpot — each maps to any object or custom field on the other side.
Replication slots and publications The logical replication objects that power log-based CDC. Owner Synced with incremental and full sync per the Stacksync docs. Replication slots and publications is specific to AWS Aurora PostgreSQL and Owner to HubSpot — each maps to any object or custom field on the other side.
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. Databases and schemas is specific to AWS Aurora PostgreSQL and Pipeline to HubSpot — each maps to any object or custom field on the other side.
Tables The core sync unit; rows are matched across systems by primary key. Stages Synced with incremental and full sync per the Stacksync docs. Tables is specific to AWS Aurora PostgreSQL and Stages to HubSpot — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Audit Synced with incremental and full sync per the Stacksync docs. Rows is specific to AWS Aurora PostgreSQL and Audit to HubSpot — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL 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 PostgreSQL HubSpot Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

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

HubSpot AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL ⇄ HubSpot

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL or HubSpot record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL and HubSpot.

How the AWS Aurora PostgreSQL and HubSpot connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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 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.

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

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora PostgreSQL ⇄ 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 PostgreSQL HubSpot
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL 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 482 integrations available for AWS Aurora PostgreSQL and HubSpot.

Popular · 5 of 482
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