Your whole data team
One dbt project
Let data scientists refer to dbt models from their local notebooks. Instantly run production-ready models at scale with the world’s first Python cloud.
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outputs:
warehouse:
type: postgres | bigquery | snowflake # Any DB
fal_dev: # Local
type: fal
db_profile: warehouse
fal_prod: # In the cloud with fal-serverless
type: fal
db_profile: warehouse
host: api.alpha.fal.ai
18:28:17 Running with dbt=1.5.0
18:28:19 Found 5 models, 20 tests
18:28:24 Completed successfully
18:28:24 Done. PASS=5 WARN=0 ERROR=0 SKIP=0 TOTAL=5
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Stop data team silos.
Modern data teams rely on dbt, leaving out data scientists who work in Python. Until now, they had no choice but to work with disjointed tools and contribute to data entropy.
Introducing fal, the first Python cloud that keeps dbt as your source of truth.
Built for teams
Dependency hell is a productivity killer. fal lets you manage multiple Python environments without struggling with version management.
Work locally. Run remotely.
Blur the local / cloud divide by instantly running your local environment in our cloud. No infrastructure to manage, and no data engineering work required.
Scale your workloads
Access high memory machines when you need them, plus all the GPUs you need (or don’t). Only pay for what you use.
Join our community
Join the discussion around our open-source project and help shape the future of data tools.
Read the latest from the fal blog.
Scared of general purpose orchestrators?
We are too.
Run your whole data team like you run your dbt project.
