Skip to content
Business productivity ⇄ Data warehouse

Braze to Cloudera Data Platform integration — real-time, two-way sync

Keep Braze and Cloudera Data Platform 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 Braze and Cloudera Data Platform

Get the data locked inside Braze into Cloudera Data Platform 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 Subscription Groups, Content Blocks, Users, Custom Attributes from Braze into tables in Cloudera Data Platform continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Cloudera Data Platform can also be written back into fields in Braze where the tool can use them.

Common use cases

  • Keep subscription and consent states consistent between Braze subscription groups and the CRM or CDP of record.
  • Export campaign and Canvas engagement data into a warehouse for cross-channel reporting.
  • Consolidate tables from on-prem and cloud CDP environments into a single cloud warehouse target.
  • Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.

Where Braze accepts updates: operational write-back

Segments, scores, or reference values computed in Cloudera Data Platform sync back onto records in Braze, putting analysis where the work happens.

History that outlives the tool

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

What you can sync between Braze and Cloudera Data Platform

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.

Braze objects Cloudera Data Platform objects
Segments Audience definitions read for membership export and campaign targeting. Kudu tables Storage engine tables that support row-level inserts, updates, and deletes.
Campaigns Message sends whose metadata and analytics are read for reporting. Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads.
Canvases Multi-step journeys; entry and performance data is read for lifecycle analysis. Views SQL views that can present curated, sync-ready projections of raw lake data.
Subscription Groups Channel-level opt-in states synced with consent records in other systems. Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads.
Content Blocks Reusable message content referenced across campaigns. Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables.
Users The central profile object, identified by external ID, Braze ID, or user aliases; the main sync target. Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs.
What ships with Braze ⇄ Cloudera Data Platform

Connect Braze and Cloudera Data Platform for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Braze–Cloudera Data Platform connection.

Real-time

Two-way sync

Changes in Braze or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Braze or Cloudera Data Platform 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 Braze or Cloudera Data Platform record.

Observability

Monitoring

Track your Braze ⇄ Cloudera Data Platform sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Braze and Cloudera Data Platform.

How the Braze and Cloudera Data Platform connectors work

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

Cloudera Data Platform

Integration surface
JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs
Authentication
Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway
Change detection
Polling via SQL on timestamp or partition columns; no consumer-facing change feed
Capabilities
read · write
Rate limits
Constrained by cluster capacity and admission control rather than API rate limits
How it works

How to connect Braze to Cloudera Data Platform — 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 Braze and Cloudera Data Platform 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
    Braze connected
    Cloudera Data Platform connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Braze and Cloudera Data Platform 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 · Braze ⇄ Cloudera Data Platform
    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
    Braze Cloudera Data Platform
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Braze and Cloudera Data Platform 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 Braze and Cloudera Data Platform.

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.