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CRM ⇄ Data warehouse

Attio to AWS S3 integration — real-time, two-way sync

Keep Attio and AWS S3 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 S3

Sync Attio into AWS S3 continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. Custom objects, People, Companies, Users from Attio land in AWS S3 as live tables, updated within seconds, and columns computed in AWS S3 write back to fields in Attio. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Keep Attio aligned with a billing system or ERP on customer records and plan status.
  • Mirror lists and list entries into a database for pipeline reporting beyond the in-app views.
  • Export synced operational data to S3 as files feeding a data lake or downstream batch jobs.
  • Trigger incremental sync runs from S3 event notifications when new files land in a prefix.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in AWS S3 appear as fields in Attio, where the people working accounts actually see them.

A single customer view

Join Attio's relationship data with billing, product, and support data in AWS S3 to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

Deduplication and normalization done in AWS S3 can be written back, so warehouse-side cleanup actually fixes the CRM.

What you can sync between Attio and AWS S3

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 S3 objects
People Standard person object; synced with marketing tools and warehouse person tables. Multipart Uploads The mechanism used to write large export files reliably.
Companies Standard company object; matched to billing and product accounts in two-way syncs. Buckets Top-level containers a sync targets; region and policy are set at this level.
Users Synced with incremental and full sync per the Stacksync docs. Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them.
Deals Pipeline records; read out for revenue reporting and written to from automation. Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories.
Workspaces Synced with incremental and full sync per the Stacksync docs. Object Metadata System and user-defined metadata read alongside object contents.
Custom objects Workspace-defined objects that behave like standard ones in the API. Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing.
What ships with Attio ⇄ AWS S3

Connect Attio and AWS S3 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Attio–AWS S3 connection.

Real-time

Two-way sync

Changes in Attio or AWS S3 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Attio or AWS S3 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 S3 record.

Observability

Monitoring

Track your Attio ⇄ AWS S3 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 S3.

How the Attio and AWS S3 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 S3

Integration surface
REST API (the S3 API), accessed directly or through AWS SDKs
Authentication
AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
Change detection
S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes
How it works

How to connect Attio to AWS S3 — 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 S3 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 S3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Attio and AWS S3 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 S3
    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 S3
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Attio and AWS S3 integration FAQ

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.

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 386 integrations available for Attio and AWS S3.

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