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Data warehouse ⇄ Business productivity

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

Keep Apache Pinot 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

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Why teams connect Apache Pinot and Customer.io

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

Common use cases

  • Keep unsubscribe and subscription-preference state consistent between Customer.io and the CRM to avoid compliance gaps.
  • Sync account-level objects and their person relationships for B2B messaging keyed to company attributes.
  • Push reference and dimension data into Pinot via batch segment loads to enrich event queries.
  • Sync Pinot aggregates into a warehouse to join low-latency metrics with modeled historical data.

Analytics on Customer.io's data

Records and events from Customer.io land in Apache Pinot 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.

Where Customer.io accepts updates: operational write-back

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

What you can sync between Apache Pinot 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.

Apache Pinot objects Customer.io objects
Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. People Profiles with attributes, matched on identifiers like id or email; the main write target of data syncs.
Segments Immutable data files that batch ingestion uploads and the cluster serves. Objects Non-person entities such as accounts or companies, related to people for account-level messaging.
Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. Events Behavioral events sent via the Track API that trigger campaigns.
Offline Tables Batch-loaded tables merged with real-time data at query time. Segments Attribute- or event-based groups; data syncs feed the attributes segments evaluate.
Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. Campaigns Automated workflows whose membership and metrics can be read via the App API.
Tenants Logical groupings that isolate workloads on shared clusters. Broadcasts One-off sends to segments or audiences, triggerable via API.
What ships with Apache Pinot ⇄ Customer.io

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Pinot 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 Apache Pinot or Customer.io record.

Observability

Monitoring

Track your Apache Pinot ⇄ 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 Apache Pinot and Customer.io.

How the Apache Pinot and Customer.io connectors work

Apache Pinot

Integration surface
REST API (SQL queries via the broker; administration via the controller); JDBC client available
Authentication
Deployment-dependent: HTTP basic authentication or token-based auth where enabled
Change detection
Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes
Capabilities
read · write
Rate limits
No fixed API quotas; query throughput depends on broker and server sizing

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 Apache Pinot 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 Apache Pinot 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
    Apache Pinot connected
    Customer.io connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Apache Pinot 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.

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 Apache Pinot and Customer.io.

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