Move your data from Braze with your free account
Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT
Braze connector details
The Braze connector captures engagement, campaign, and analytics data from the Braze REST API into Flow 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.
HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.
DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.
REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from Braze in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your Braze insights always reflect the latest data by connecting your databases to Braze with change data capture.
- Or connect critical SaaS apps to Braze with real-time data pipelines.
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 | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
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