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Data warehouse ⇄ AI

Amazon Redshift to Autopilot integration — real-time, two-way sync

Keep Amazon Redshift and Autopilot 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 Amazon Redshift and Autopilot

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

Amazon Redshift 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 Activities, Contacts, Lists, Custom Fields in Autopilot with Users and Groups, Databases, Schemas, Tables in Amazon Redshift field by field, in real time, and in both directions. Rows added or changed in Amazon Redshift flow into Autopilot as they happen, and the Activities, Contacts, Lists, Custom Fields that Autopilot generates land back in Amazon Redshift 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 Amazon Redshift, 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 Stream Activities into a warehouse so opens, clicks, and journey steps sit next to product and revenue data for lifecycle reporting.
  • 02 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.
  • 03 Feed customer 360 tables built in Redshift to support and success platforms.
  • 04 Centralize CRM, ERP, and product data in Redshift so analysts join it with warehouse tables.

Common sync patterns

Model output back in the warehouse

Scores, labels, embeddings, or summaries produced in Autopilot land in Amazon Redshift as columns or tables, queryable and joinable with the rest of the business data.

Keep an index in step with the source

As records change in Amazon Redshift, matching Activities, Contacts, Lists, Custom Fields in Autopilot are inserted, updated, or removed, so what Autopilot serves reflects the warehouse instead of a stale snapshot.

One place to analyze AI results

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

What you can sync between Amazon Redshift and Autopilot

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.

Amazon Redshift objects Autopilot objects How this pairing syncs
Schemas Namespaces used to organize synced tables and control grants. Custom Fields User-defined contact properties (string, number, date, boolean); discovered so field keys map cleanly to destination columns. Schemas is specific to Amazon Redshift and Custom Fields to Autopilot — each maps to any object or custom field on the other side.
Tables Columnar tables used as sync destinations for SaaS and database data. Smart Segments Rule-based dynamic audiences; membership is computed by Autopilot, so it is read-only over the API. Tables is specific to Amazon Redshift and Smart Segments to Autopilot — each maps to any object or custom field on the other side.
Views SQL views readable as modeled sources for reverse syncs. Journeys (Triggers) Automation journeys; a contact can be added to a journey via its trigger endpoint to start automated email or SMS sequences. Views is specific to Amazon Redshift and Journeys (Triggers) to Autopilot — each maps to any object or custom field on the other side.
Materialized Views Precomputed results that downstream syncs can read for performance. Activities Per-contact activity and event history (opens, clicks, journey steps); read-only feed used for engagement reporting. Materialized Views is specific to Amazon Redshift and Activities to Autopilot — each maps to any object or custom field on the other side.
External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. Contacts Core people records (email, name, custom fields, list and segment membership); upserted two-way as the primary sync object. External Tables (Spectrum) is specific to Amazon Redshift and Contacts to Autopilot — each maps to any object or custom field on the other side.
Stored Procedures SQL procedures sometimes invoked around load steps. Lists Static contact lists; membership is readable per list and writable by adding or removing contacts. Stored Procedures is specific to Amazon Redshift and Lists to Autopilot — each maps to any object or custom field on the other side.

How changes propagate between Amazon Redshift and Autopilot

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.

Amazon Redshift Autopilot Interval-based propagation

DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.

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

Autopilot Amazon Redshift 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 applied to Amazon Redshift as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Redshift: Bounded by cluster or serverless capacity and concurrency settings rather than API quotas.
  • 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.
What ships with Amazon Redshift ⇄ Autopilot

Connect Amazon Redshift and Autopilot for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Redshift or Autopilot 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 Amazon Redshift or Autopilot record.

Observability

Monitoring

Track your Amazon Redshift ⇄ Autopilot sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Autopilot.

How the Amazon Redshift and Autopilot connectors work

Amazon Redshift

Integration surface
SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS
Authentication
Database credentials or IAM-based authentication
Change detection
Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers
Capabilities
read · write
Rate limits
Bounded by cluster or serverless capacity and concurrency settings rather than API quotas

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
How it works

How to connect Amazon Redshift to Autopilot — 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 Amazon Redshift and Autopilot 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
    Amazon Redshift connected
    Autopilot connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Redshift and Autopilot 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 · Amazon Redshift ⇄ Autopilot
    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
    Amazon Redshift Autopilot
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Redshift and Autopilot 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 515 integrations available for Amazon Redshift and Autopilot.

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