Braze integration
Braze data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.campaigns
type: ingestr
parameters:
source_connection: braze
source_table: 'campaigns'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/braze.asset.yml
- extract · Braze campaignsincremental
- load · snowflake raw.campaignsmerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
Customer engagement platform for personalized messaging across push, email, SMS, and in-app channels with real-time data streaming.
- 01
Add a Braze connection with its credentials.
- 02
Pick the tables to load and how: replace, append or merge.
- 03
Bruin runs it on your schedule and checks every load.
Connection parameters
- api_key
- Braze REST API key
- rest_endpoint
- Braze REST API endpoint for your cluster
Tables
6 tables, ready to load.
campaignscanvasessegmentsuserseventspurchases
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
Sources
DatabasesWarehousesApps & APIsFiles & storageStreams & webhooksWeb scrapingMove
Data IngestionFrequently asked
Questions about Braze.
Does Bruin have a built-in Braze integration?
Yes. Built-in ingestr source.
Which Braze tables can Bruin load?
campaigns, canvases, segments, users, events, purchases.
Where can Braze data go?
Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.
How fresh is the data?
As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.
Do we need Bruin Cloud?
No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.
Ready to connect Braze?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.