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Business productivity ⇄ Data warehouse

Braze to Databricks integration — real-time, two-way sync

Keep Braze and Databricks 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 Braze and Databricks

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

Common use cases

  • Sync CRM and billing attributes onto Braze user profiles so lifecycle campaigns target accurate plan and status data.
  • Push product usage events from a database or warehouse into Braze to trigger onboarding and retention journeys.
  • Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • Serve ML feature outputs computed in Databricks to production apps through a synced operational store.

Cross-tool reporting

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

Where Braze accepts updates: operational write-back

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

History that outlives the tool

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

What you can sync between Braze and Databricks

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 Databricks objects
Users The central profile object, identified by external ID, Braze ID, or user aliases; the main sync target. Delta Tables The primary read and write target; operational data lands here as managed or external tables.
Custom Attributes Profile fields written from CRMs, warehouses, and product databases to drive personalization. Views Curated read-only projections used as sync sources for downstream tools.
Custom Events Behavioral events pushed into Braze to trigger campaigns and Canvases. Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs.
Purchases Transaction records logged against profiles for revenue-based targeting. Volumes Unity Catalog file storage used for staging bulk loads.
Segments Audience definitions read for membership export and campaign targeting. SQL Warehouses The compute endpoint a sync connects to for query execution.
Campaigns Message sends whose metadata and analytics are read for reporting. Change Data Feed Row-level change records on Delta tables that drive incremental reads.
What ships with Braze ⇄ Databricks

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Braze or Databricks 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 Databricks record.

Observability

Monitoring

Track your Braze ⇄ Databricks 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 Databricks.

How the Braze and Databricks 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

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits
How it works

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

    Choose tables

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

Braze and Databricks 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 Braze and Databricks.

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