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AI ⇄ Data warehouse

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

Keep Autopilot 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.

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

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Why teams connect Autopilot and AWS S3

Send the records AWS S3 holds into Autopilot for embedding, classification, and scoring, and land what Autopilot produces back in AWS S3 as new columns, one two-way connection instead of a batch job.

AWS S3 holds the raw records the business runs on; Autopilot turns those records into embeddings, scores, labels, and summaries. The two meet wherever a warehouse row needs to be enriched by a model and the result needs somewhere durable to live. Most teams stitch that meeting together with export scripts and a queue, then spend their time keeping the glue alive.

Stacksync syncs Lists, Custom Fields, Smart Segments, Journeys (Triggers) in Autopilot with Access Points, Multipart Uploads, Buckets, Objects in AWS S3 field by field, in real time, and in both directions. Rows added or changed in AWS S3 flow into Autopilot as they happen, and the Lists, Custom Fields, Smart Segments, Journeys (Triggers) that Autopilot generates land back in AWS S3 as columns or tables, with field-level mapping and conflict rules in place of a custom pipeline.

The payoff is that model output stops living in a separate place from the data it describes. Once results sit in AWS S3, they join against billing, product, and usage tables already there, so you can report on quality, cost, and coverage without moving anything by hand.

Common use cases

  • 01 Upsert Contacts from a CRM or product database into Autopilot so new signups and profile changes flow into email and SMS journeys without manual CSV imports.
  • 02 Add contacts to a Journey from a database event or CRM stage change to start automated onboarding or nurture sequences.
  • 03 Trigger incremental sync runs from S3 event notifications when new files land in a prefix.
  • 04 Stage bulk loads for warehouses that ingest from object storage.

Common sync patterns

One place to analyze AI results

Combine Autopilot's output with the tables already in AWS S3 to report on model quality, cost, and coverage without exporting anything to a spreadsheet.

History that outlives a run

A continuously synced copy in AWS S3 preserves every generated result, so outputs stay auditable even as they are overwritten or expire inside Autopilot.

Feed live warehouse records to Autopilot

Rows added or changed in AWS S3 flow into Autopilot within seconds, so embeddings, classifications, and enrichments are computed on current data rather than a nightly extract.

What you can sync between Autopilot 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.

Autopilot objects AWS S3 objects How this pairing syncs
Lists Static contact lists; membership is readable per list and writable by adding or removing contacts. Multipart Uploads The mechanism used to write large export files reliably. Lists is specific to Autopilot and Multipart Uploads to AWS S3 — each maps to any object or custom field on the other side.
Custom Fields User-defined contact properties (string, number, date, boolean); discovered so field keys map cleanly to destination columns. Buckets Top-level containers a sync targets; region and policy are set at this level. Custom Fields is specific to Autopilot and Buckets to AWS S3 — each maps to any object or custom field on the other side.
Smart Segments Rule-based dynamic audiences; membership is computed by Autopilot, so it is read-only over the API. Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. Smart Segments is specific to Autopilot and Objects to AWS S3 — each maps to any object or custom field on the other side.
Journeys (Triggers) Automation journeys; a contact can be added to a journey via its trigger endpoint to start automated email or SMS sequences. Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. Journeys (Triggers) is specific to Autopilot and Prefixes to AWS S3 — each maps to any object or custom field on the other side.
Activities Per-contact activity and event history (opens, clicks, journey steps); read-only feed used for engagement reporting. Object Metadata System and user-defined metadata read alongside object contents. Activities is specific to Autopilot and Object Metadata to AWS S3 — each maps to any object or custom field on the other side.
Contacts Core people records (email, name, custom fields, list and segment membership); upserted two-way as the primary sync object. Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. Contacts is specific to Autopilot and Object Versions to AWS S3 — each maps to any object or custom field on the other side.

How changes propagate between Autopilot and AWS S3

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.

Autopilot AWS S3 Interval-based propagation

DetectionStacksync polls Autopilot for changes on an incremental schedule, reading only records changed since the previous pass. No CDC.

DeliveryEach detected change is written to AWS S3 through its API, with automatic retries and rate-limit backoff.

AWS S3 Autopilot Sub-second propagation

DetectionAWS S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge.

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

Rate-limit considerations

  • Autopilot: The REST API is capped at 100 requests/minute per account; exceeding it returns HTTP 429. Enterprise plans can request a higher limit. Contact writes accept an array for bulk upsert, and list and segment reads paginate via a bookmark cursor.
  • AWS S3: Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes.
What ships with Autopilot ⇄ AWS S3

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Autopilot 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 Autopilot or AWS S3 record.

Observability

Monitoring

Track your Autopilot ⇄ 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 Autopilot and AWS S3.

How the Autopilot and AWS S3 connectors work

Autopilot

Integration surface
REST API (Autopilot v1); Autopilot rebranded to Ortto in 2021 and the newer Ortto API co-exists with the legacy Autopilot endpoints
Authentication
Per-account API key sent in the autopilotapikey request header (generated in account settings); requests use Content-Type application/json against https://api2.autopilothq.com/v1/
Change detection
No CDC; incremental sync polls the /contacts endpoint with bookmark cursor pagination and updated timestamps. Journey webhook actions can push specific contact events, but there is no general change-subscription webhook, so polling is the reliable path.
Capabilities
read · write
Rate limits
The REST API is capped at 100 requests/minute per account; exceeding it returns HTTP 429. Enterprise plans can request a higher limit. Contact writes accept an array for bulk upsert, and list and segment reads paginate via a bookmark cursor.
Autopilot 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 Autopilot 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 Autopilot 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
    Autopilot connected
    AWS S3 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Autopilot 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 · Autopilot ⇄ 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
    Autopilot AWS S3
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Autopilot and AWS S3 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.

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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 516 integrations available for Autopilot and AWS S3.

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