Apache Airflow is a free framework for scheduling, authoring, and monitoring processes programmatically. It is written in Python and represents the flow of jobs in a workflow using a directed acyclic graph (DAG). Airflow allows users to utilise minimum code to construct, schedule, and monitor complicated data pipelines. It also includes a web-based user interface for monitoring and managing workflows, as well as a programmable API. It also has pre-built support for common data storage platforms including Postgres, MySQL and S3. Many operators are supported by Airflow, including those for running Python code, executing shell commands, and transferring files In the industry. Airflow is commonly utilised for data engineering, ETL procedures, and machine learning workflows.
If Apache Airflow is not working as usual at this time or maybe it’s down permanently then here are some of the best alternatives to Apache Airflow that you should consider utilizing.
So, find out which alternative is the best fit for you by trying some other [category] like Apache Airflow through our list of the best Apache Airflow alternatives so far:
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Best Alternatives To Apache Airflow