It supports 100+ data sources ( including 30+ free data sources) and is a 3-step process by just selecting the data source, providing valid credentials, and choosing the destination. Hevo Data, a No-code Data Pipeline helps to load data from any data source such as Databases, SaaS applications, Cloud Storage, SDK,s, and Streaming Services and simplifies the ETL process. To know more about Apache Airflow, click here. In itself, Airflow is a general-purpose orchestration framework with a manageable set of features to learn. Scalable: Airflow is a modular design that orchestrates an arbitrary number of workers via a message queue.Besides, the rich scheduling semantics enables users to run pipelines at regular intervals. The powerful Jinja templating engine is incorporated into the core of Airflow, allowing you to parameterize your scripts. Elegant: Airflow pipelines are explicit and straightforward.Moreover, it enables users to restart from the point of failure without restarting the entire workflow again. Dynamic: Airflow pipelines are configured as code (Python), allowing for dynamic pipeline generation.
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