MotherDuck integration
Your models, in MotherDuck.
A built-in ingestr destination: load modelled tables into MotherDuck.
name: out.motherduck
type: ingestr
parameters:
source_connection: postgres
source_table: analytics.daily_revenue
destination: motherduck$ bruin run assets/out/motherduck.asset.yml
- extract · postgres analytics.daily_revenue
- load · MotherDuckreplace
Delivered to MotherDuck.
How it connects
Connected in three steps.
Cloud-native data warehouse built on DuckDB, providing serverless analytics with the performance of DuckDB in a managed cloud environment.
- 01
Add a MotherDuck connection.
- 02
Point an ingestion asset at MotherDuck as its destination.
- 03
Bruin loads it on your schedule and checks every load.
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 MotherDuck.
Does Bruin have a built-in MotherDuck integration?
Yes. Built-in ingestr destination. Runs SQL and Python assets.
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 MotherDuck?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.