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CRM ⇄ Database

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

Keep Attio and AWS Aurora MySQL 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
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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Attio and AWS Aurora MySQL

Treat Attio 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.

Syncing Attio with AWS Aurora MySQL gives product and data teams an operational mirror of the CRM in their own database. Attio People, Companies, and Deals land as Rows in Aurora Tables, queryable with SQL and joinable to application data, while database updates write back to the CRM.

Stacksync mirrors Users, Deals, Workspaces, Custom objects from Attio into Stored procedures and triggers, Databases (schemas), Tables, Rows 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 Attio 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 Build internal tools on Aurora Views that read live Attio Deal data.
  • 02 Enrich Attio People from application user rows without CSV exports.
  • 03 Keep a per-Workspace schema in Aurora that mirrors CRM structure for analytics.
  • 04 Write product usage and enrichment data into Attio attributes so GTM teams work from live account signals.

Common sync patterns

CRM as SQL

Attio People and Companies sync to Aurora Tables with Primary keys and indexes, ready for joins against product data.

Product-signal writeback

usage rows computed in Aurora update Attio Company and Deal records for go-to-market teams.

Custom object mirroring

Attio Custom objects map to dedicated Tables and Columns per schema.

What you can sync between Attio and AWS Aurora MySQL

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.

Attio objects AWS Aurora MySQL objects How this pairing syncs
Companies Standard company object; matched to billing and product accounts in two-way syncs. Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. Companies is specific to Attio and Foreign keys to AWS Aurora MySQL — each maps to any object or custom field on the other side.
Users Synced with incremental and full sync per the Stacksync docs. Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Users is specific to Attio and Stored procedures and triggers to AWS Aurora MySQL — each maps to any object or custom field on the other side.
Deals Pipeline records; read out for revenue reporting and written to from automation. Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Deals is specific to Attio and Databases (schemas) to AWS Aurora MySQL — each maps to any object or custom field on the other side.
Workspaces 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. Workspaces is specific to Attio and Tables to AWS Aurora MySQL — each maps to any object or custom field on the other side.
Custom objects Workspace-defined objects that behave like standard ones in the API. Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Custom objects is specific to Attio and Rows to AWS Aurora MySQL — each maps to any object or custom field on the other side.
People Standard person object; synced with marketing tools and warehouse person tables. Columns MySQL data types are mapped to the paired system's field types during schema setup. People is specific to Attio and Columns to AWS Aurora MySQL — each maps to any object or custom field on the other side.

How changes propagate between Attio and AWS Aurora MySQL

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.

Attio AWS Aurora MySQL Sub-second propagation

DetectionAttio notifies Stacksync of record changes through webhook events. Webhooks on record and list-entry events, with polling as a fallback.

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

AWS Aurora MySQL Attio 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 Attio through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Attio: Subject to the platform's published API rate limits.
What ships with Attio ⇄ AWS Aurora MySQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Attio or AWS Aurora MySQL 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 Attio or AWS Aurora MySQL record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Attio and AWS Aurora MySQL connectors work

Attio

Integration surface
REST API
Authentication
Guided in-app connection ("Attio CRM" connection created in a few clicks, "without any coding required"); the docs do not name the underlying auth mechanism (OAuth vs API key)
Change detection
Webhooks on record and list-entry events, with polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's published API rate limits.
Attio setup guide

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
How it works

How to connect Attio to AWS Aurora MySQL — 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 Attio and AWS Aurora MySQL 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
    Attio connected
    AWS Aurora MySQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Attio and AWS Aurora MySQL 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 · Attio ⇄ AWS Aurora MySQL
    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
    Attio AWS Aurora MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Attio and AWS Aurora MySQL 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
CSA STAR
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 474 integrations available for Attio and AWS Aurora MySQL.

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