
Move your data from Braze with your free account
Capture data from Braze and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines



Braze connector details
The Braze connector captures engagement, campaign, and analytics data from the Braze REST API into Estuary data collections, enabling unified insights across marketing and product data.
- Captures campaigns, events, segments, KPIs, and analytics data from Braze APIs
- Supports customizable start date for incremental data collection
- Secure authentication using Braze REST API Key and endpoint URL
- Optimized for large-scale data ingestion with performance improvements
- Works seamlessly within Estuary’s Private and BYOC environments for compliance and governance
💡 Tip: Ideal for unifying user engagement data with downstream analytics in Snowflake, BigQuery, or Databricks for a complete customer view.
How to connect Braze to your destination in 3 easy steps
- 1
Connect Braze as your data source
Securely connect Braze and choose the objects, tables, or collections you need to sync.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Braze using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect Braze to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse Braze data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send Braze data:
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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