Snowflake integration

Snowflake data, in your warehouse.

A built-in ingestr connector: add credentials, pick tables, schedule it.

name: raw.raw_events
type: ingestr
parameters:
  source_connection: snowflake
  source_table: 'raw_events'
  destination: snowflake
  incremental_strategy: merge

$ bruin run assets/raw/snowflake.asset.yml

  1. extract · Snowflake raw_eventsincremental
  2. load · snowflake raw.raw_eventsmerged
  3. checks · not_null, unique

Loaded and checked. Downstream models can run.

How it connects

Connected in three steps.

Snowflake is a cloud-based data-warehousing platform that supports big data and analytics.

  1. 01

    Add a Snowflake connection with its credentials.

  2. 02

    Pick the tables to load and how: replace, append or merge.

  3. 03

    Bruin runs it on your schedule and checks every load.

Connection parameters

user
Snowflake username
password
User password
account
Account identifier (including region)
database
Target database name
schema
Schema within the database
warehouse
Compute warehouse to use
role
Optional role to assume

Every way Snowflake works with Bruin

  • SourceBuilt-in ingestr sourceDocs →
  • DestinationBuilt-in ingestr destinationDocs →
  • Query engineRuns SQL and Python assetsDocs →

Tables

4 tables, ready to load.

  • raw_events
  • dim_customers
  • fact_sales
  • staging_data

The platform

Part of the Bruin platform.

Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.

Frequently asked

Questions about Snowflake.

Does Bruin have a built-in Snowflake integration?

Yes. Built-in ingestr source. Built-in ingestr destination. Runs SQL and Python assets.

Which Snowflake tables can Bruin load?

raw_events, dim_customers, fact_sales, staging_data.

Where can Snowflake 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 Snowflake?

$100 in credits and 50 AI tasks. No credit card.

A demo walks through your own data.

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