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Business productivity ⇄ Data warehouse

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

Keep Customer.io and Dremio 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 Customer.io and Dremio

Get the data locked inside Customer.io into Dremio 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 Objects, Events, Segments, Campaigns from Customer.io into tables in Dremio continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Dremio can also be written back into fields in Customer.io where the tool can use them.

Common use cases

  • Sync account-level objects and their person relationships for B2B messaging keyed to company attributes.
  • Sync product usage and billing attributes from Postgres onto Customer.io people so lifecycle campaigns trigger on real product behavior.
  • Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
  • Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.

Where Customer.io accepts updates: operational write-back

Segments, scores, or reference values computed in Dremio sync back onto records in Customer.io, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in Dremio 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 Dremio as queryable tables, current within seconds and ready to join with the rest of the warehouse.

What you can sync between Customer.io and Dremio

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.

Customer.io objects Dremio objects
Objects Non-person entities such as accounts or companies, related to people for account-level messaging. Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads.
Events Behavioral events sent via the Track API that trigger campaigns. Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts.
Segments Attribute- or event-based groups; data syncs feed the attributes segments evaluate. Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads.
Campaigns Automated workflows whose membership and metrics can be read via the App API. Spaces and folders Namespaces that organize virtual datasets and govern access.
Broadcasts One-off sends to segments or audiences, triggerable via API. Reflections Materialized accelerations that make repeated extraction queries cheaper.
Deliveries / Messages Per-recipient message records whose lifecycle events flow out through reporting webhooks. Jobs Query execution records useful for monitoring sync workloads.
What ships with Customer.io ⇄ Dremio

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Customer.io or Dremio 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 Customer.io or Dremio record.

Observability

Monitoring

Track your Customer.io ⇄ Dremio sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Customer.io and Dremio.

How the Customer.io and Dremio connectors work

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

Dremio

Integration surface
Arrow Flight SQL, JDBC/ODBC, and a REST API
Authentication
Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
Change detection
Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
Capabilities
read · write
Rate limits
Bounded by engine capacity and workload management rather than API rate limits
How it works

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

    Choose tables

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

Customer.io and Dremio 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 Customer.io and Dremio.

Popular · 8 of 386
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