Real-time
Two-way sync
Changes in Attio or AWS Aurora MySQL instantly reflect in both systems. No stale data, no manual imports.
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
- 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 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.
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 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
- Write product usage and enrichment data into Attio attributes so GTM teams work from live account signals.
- Keep Attio aligned with a billing system or ERP on customer records and plan status.
- Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
- Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
Trigger workflows from CRM changes
Field and stage updates in Attio arrive as row changes in AWS Aurora MySQL, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Attio become tables in AWS Aurora MySQL you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to AWS Aurora MySQL sync onto the matching records in Attio, giving go-to-market teams live product context.
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 | |
|---|---|---|
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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. |
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.
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.
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.
- 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.
Attio
connected
AWS Aurora MySQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 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.
objects · Attio ⇄ AWS Aurora MySQLCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Attio AWS Aurora MySQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Attio and AWS Aurora MySQL integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Attio and AWS Aurora MySQL: authenticate both systems, choose the objects to sync (such as Attio's Companies and Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Attio side: Users, Deals, Workspaces, Custom objects, plus custom fields where Attio exposes them. On the AWS Aurora MySQL side: Stored procedures and triggers, Databases (schemas), Tables, Rows. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
-
Common patterns for Attio and AWS Aurora MySQL: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in Attio arrive as row changes in AWS Aurora MySQL, ready to drive jobs and notifications.
-
Attio: 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). AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
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Attio: Records are distinct from list entries; the same company can appear in multiple lists with list-specific attribute values, which a faithful sync replicates separately. AWS Aurora MySQL: Read replicas share the cluster storage volume, letting syncs read from a replica endpoint without adding load to the writer. Stacksync's field mapping accounts for these differences between Attio and AWS Aurora MySQL without custom code.
SECURITY
Security teams love 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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Attio and AWS Aurora MySQL.
Popular · 8 of 386
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Attio ⇄ TiDB -
Attio ⇄ TimescaleDB -
Attio ⇄ VoltDB -
Attio ⇄ YugabyteDB -
AWS Aurora MySQL ⇄ Folk CRM -
AWS Aurora MySQL ⇄ Freshsales -
AWS Aurora MySQL ⇄ Freshworks CRM -
AWS Aurora MySQL ⇄ Gladly
No integrations match .
