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Data warehouse ⇄ Business productivity

Apache Pinot to Braze integration — real-time, two-way sync

Keep Apache Pinot and Braze 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 Apache Pinot and Braze

Get the data locked inside Braze into Apache Pinot as live tables, and send results back where Braze can use them, without writing a pipeline.

Whatever Braze 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 Custom Events, Purchases, Segments, Campaigns from Braze 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 Braze where the tool can use them.

Common use cases

  • 01 Sync audience membership computed in the warehouse into Braze segments for targeting.
  • 02 Sync CRM and billing attributes onto Braze user profiles so lifecycle campaigns target accurate plan and status data.
  • 03 Keep upsert-enabled real-time tables aligned with mutable operational records streamed from source systems.
  • 04 Query per-account usage metrics from Pinot and sync them into CRM fields so sales sees product activity.

Common sync patterns

History that outlives the tool

A continuously synced copy in Apache Pinot preserves a queryable record even as data ages out of Braze or gets changed inside it.

Analytics on Braze's data

Records and events from Braze land in Apache Pinot as queryable tables, current within seconds and ready to join with the rest of the warehouse.

Cross-tool reporting

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

What you can sync between Apache Pinot and Braze

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 Braze objects How this pairing syncs
Segments Immutable data files that batch ingestion uploads and the cluster serves. Segments Audience definitions read for membership export and campaign targeting. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Tenants Logical groupings that isolate workloads on shared clusters. Subscription Groups Channel-level opt-in states synced with consent records in other systems. Tenants is specific to Apache Pinot and Subscription Groups to Braze — each maps to any object or custom field on the other side.
Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. Content Blocks Reusable message content referenced across campaigns. Tables is specific to Apache Pinot and Content Blocks to Braze — each maps to any object or custom field on the other side.
Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. Users The central profile object, identified by external ID, Braze ID, or user aliases; the main sync target. Schemas is specific to Apache Pinot and Users to Braze — each maps to any object or custom field on the other side.
Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. Custom Attributes Profile fields written from CRMs, warehouses, and product databases to drive personalization. Real-time Tables is specific to Apache Pinot and Custom Attributes to Braze — each maps to any object or custom field on the other side.
Offline Tables Batch-loaded tables merged with real-time data at query time. Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. Offline Tables is specific to Apache Pinot and Custom Events to Braze — each maps to any object or custom field on the other side.

How changes propagate between Apache Pinot and Braze

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.

Apache Pinot Braze Interval-based propagation

DetectionStacksync polls Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.

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

Braze Apache Pinot Interval-based propagation

DetectionStacksync polls Braze for changes on an incremental schedule, reading only records changed since the previous pass. Braze Currents streams engagement events outward.

DeliveryEach detected change is applied to Apache Pinot as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Pinot: No fixed API quotas; query throughput depends on broker and server sizing.
  • Braze: Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request.
What ships with Apache Pinot ⇄ Braze

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Pinot or Braze 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 Braze record.

Observability

Monitoring

Track your Apache Pinot ⇄ Braze 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 Braze.

How the Apache Pinot and Braze 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

Braze

Integration surface
REST API
Authentication
REST API keys scoped to specific endpoints, issued per workspace
Change detection
Braze Currents streams engagement events outward; profile reads otherwise rely on export endpoints and polling
Capabilities
read · write
Rate limits
Endpoints have per-endpoint rate limits documented by Braze; batch endpoints accept multiple users per request
How it works

How to connect Apache Pinot to Braze — 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 Braze 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
    Braze connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Pinot and Braze 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 ⇄ Braze
    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 Braze
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Pinot and Braze 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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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 430 integrations available for Apache Pinot and Braze.

Popular · 7 of 430
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