Skip to content
Data warehouse ⇄ Business productivity

Amazon Redshift to Customer.io integration — real-time, two-way sync

Keep Amazon Redshift and Customer.io 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

Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon Redshift and Customer.io

Get the data locked inside Customer.io into Amazon Redshift as live tables, and send results back where Customer.io can use them, without writing a pipeline.

Whatever Customer.io is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.

Stacksync syncs Broadcasts, Deliveries / Messages, Newsletters, People from Customer.io into tables in Amazon Redshift continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Amazon Redshift can also be written back into fields in Customer.io where the tool can use them.

Common use cases

  • Sync product usage and billing attributes from Postgres onto Customer.io people so lifecycle campaigns trigger on real product behavior.
  • Push CRM segments and lead status into Customer.io so messaging respects sales stage.
  • Feed customer 360 tables built in Redshift to support and success platforms.
  • Centralize CRM, ERP, and product data in Redshift so analysts join it with warehouse tables.

History that outlives the tool

A continuously synced copy in Amazon Redshift preserves a queryable record even as data ages out of Customer.io or gets changed inside it.

Analytics on Customer.io's data

Records and events from Customer.io land in Amazon Redshift as queryable tables, current within seconds and ready to join with the rest of the warehouse.

Cross-tool reporting

Combine Customer.io's data with data from every other synced system to answer questions no single tool can.

What you can sync between Amazon Redshift and Customer.io

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 Customer.io objects
Schemas Namespaces used to organize synced tables and control grants. Campaigns Automated workflows whose membership and metrics can be read via the App API.
Tables Columnar tables used as sync destinations for SaaS and database data. Broadcasts One-off sends to segments or audiences, triggerable via API.
Views SQL views readable as modeled sources for reverse syncs. Deliveries / Messages Per-recipient message records whose lifecycle events flow out through reporting webhooks.
Materialized Views Precomputed results that downstream syncs can read for performance. Newsletters Recurring email sends with performance metrics available for reporting syncs.
External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. People Profiles with attributes, matched on identifiers like id or email; the main write target of data syncs.
Stored Procedures SQL procedures sometimes invoked around load steps. Objects Non-person entities such as accounts or companies, related to people for account-level messaging.
What ships with Amazon Redshift ⇄ Customer.io

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Redshift or Customer.io 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 Customer.io record.

Observability

Monitoring

Track your Amazon Redshift ⇄ Customer.io 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 Customer.io.

How the Amazon Redshift and Customer.io 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

Customer.io

Integration surface
REST APIs split by purpose: Track API for data ingestion, App API for campaigns, people lookups, and messages
Authentication
Basic auth with site ID and API key for the Track API; bearer token for the App API
Change detection
Reporting webhooks push message and delivery events; person attribute changes are not streamed and require source-side detection
Capabilities
read · write · webhooks
Rate limits
Subject to per-API rate limits documented by Customer.io
How it works

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

    Choose tables

    Pick the Amazon Redshift and Customer.io 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 ⇄ Customer.io
    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 Customer.io
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Amazon Redshift and Customer.io 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.

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 Amazon Redshift and Customer.io.

Popular · 8 of 386
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.