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The best Databricks Workflows alternatives
The rest of Best Data Orchestration Software, in this site's order: each with what it costs, where it runs and its record score.
Flyte suits developers and teams building AI workflows for training, serving or agents.
Kestra may suit teams coordinating workflows across different languages and external tools.
It suits teams building and operating self-hosted data workflows through visual tools or code.
Dagster suits teams building and operating data pipelines that need asset lineage, quality checks, and execution visibility.
Airflow may suit teams that define scheduled batch workflows in Python and want a web interface for scheduling and monitoring.
Prefect suits developers and teams orchestrating data, machine learning, or agent workflows in Python.
It suits Python users who need to chain long-running batch tasks across systems such as Hadoop, databases, or local files.