Real-time
Two-way sync
Changes in Attio or AWS Aurora PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Attio to AWS Aurora PostgreSQL integration — real-time, two-way sync
Keep Attio and AWS Aurora PostgreSQL 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 Attio and AWS Aurora PostgreSQL
Treat Attio 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.
Connecting Attio to AWS Aurora PostgreSQL puts CRM records where engineers already work: Postgres tables. Attio Companies and Deals sync into Aurora Tables under dedicated Schemas, so teams query pipeline with SQL, enforce Constraints, and write updates back to the CRM from application code.
Stacksync mirrors Workspaces, Custom objects, People, Companies from Attio into Rows, Columns, Primary keys and constraints, Views and materialized views 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 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 React to Attio Deal stage changes in application code by reading the synced Rows in Aurora Tables.
- 02 Deduplicate Companies using SQL constraints before records reach sales.
- 03 Serve Custom object data to internal dashboards through standard Views.
- 04 Mirror lists and list entries into a database for pipeline reporting beyond the in-app views.
Common sync patterns
Bi-directional CRM tables
Attio People and Deals sync as Rows in Aurora Tables; an UPDATE in Postgres updates the Attio record.
Analytics-ready views
Materialized views over synced Attio Companies power reporting without hitting the Attio API.
Schema-per-workspace
each Attio Workspace maps to its own Aurora Schema with Primary keys and constraints enforced.
What you can sync between Attio and AWS Aurora PostgreSQL
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 PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| People Standard person object; synced with marketing tools and warehouse person tables. | Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | People is specific to Attio and Primary keys and constraints to AWS Aurora PostgreSQL — each maps to any object or custom field on the other side. | |
| Companies Standard company object; matched to billing and product accounts in two-way syncs. | Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Companies is specific to Attio and Views and materialized views to AWS Aurora PostgreSQL — each maps to any object or custom field on the other side. | |
| Users Synced with incremental and full sync per the Stacksync docs. | Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Users is specific to Attio and Foreign keys to AWS Aurora PostgreSQL — 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. | Replication slots and publications The logical replication objects that power log-based CDC. | Deals is specific to Attio and Replication slots and publications to AWS Aurora PostgreSQL — each maps to any object or custom field on the other side. | |
| Workspaces Synced with incremental and full sync per the Stacksync docs. | Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Workspaces is specific to Attio and Databases and schemas to AWS Aurora PostgreSQL — 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. | Tables The core sync unit; rows are matched across systems by primary key. | Custom objects is specific to Attio and Tables to AWS Aurora PostgreSQL — each maps to any object or custom field on the other side. |
How changes propagate between Attio and AWS Aurora PostgreSQL
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 PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.
AWS Aurora PostgreSQL Attio 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 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 PostgreSQL
Connect Attio and AWS Aurora PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Attio–AWS Aurora PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Attio or AWS Aurora PostgreSQL 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 PostgreSQL record.
Observability
Monitoring
Track your Attio ⇄ AWS Aurora PostgreSQL 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 PostgreSQL.
How the Attio and AWS Aurora PostgreSQL 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 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
How it works
How to connect Attio to AWS Aurora PostgreSQL — 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 PostgreSQL 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 PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Attio and AWS Aurora PostgreSQL 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 PostgreSQLCustomers 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 PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Attio and AWS Aurora PostgreSQL integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Attio and AWS Aurora PostgreSQL: authenticate both systems, choose the objects to sync (such as Attio's People and Companies), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Attio and AWS Aurora PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Attio: Webhooks on record and list-entry events, with polling as a fallback. On AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Attio side: Workspaces, Custom objects, People, Companies, plus custom fields where Attio exposes them. On the AWS Aurora PostgreSQL side: Rows, Columns, Primary keys and constraints, Views and materialized views. 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 PostgreSQL: Bi-directional CRM tables; Analytics-ready views; Schema-per-workspace. Attio People and Deals sync as Rows in Aurora Tables; an UPDATE in Postgres updates the Attio record.
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.
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
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