Run git-tracked data pipelines as code that can be
triggered in-app or from any scheduler
Choosing pragmatism over the current status quo
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Set up your git-tracked pipeline as code without the complexity of Airflow or other schedulers
Configure as many concurrent schedules as you like
Customize your production pipelines with environment variables
Set up email and Slack alerts for passes and fails - notify a channel or an individual
Trigger schedules natively in Airflow, Dagster or Prefect through the API and trigger other jobs when runs complete
Store all your logs with us or get up your own S3 bucket to get all the data back with each run
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Through a few clicks, you will have a modern, simple and git-tracked scheduler where you can run any dbt command in any sequency.
Notify a channel or a person in Slack or send emails when things go wrong. Configure alerts for each schedule differently.
Whether you are on dbt Cloud or using your own setup, migrating to Bolt can be done in an hour with our easy to use API and flexible configuration.
"You are creating a non-linear value jump through efficient workflows catering to folks just starting out to folks who need deeper information and you are also reducing tool creep."