Prefect
Data orchestration platform for a modern data stack
Prefect is an open-source workflow orchestration tool designed for data engineering. It allows users to define and execute complex workflows to automate data processing and data management tasks. Prefect can be used to build data pipelines, ETL processes, machine learning workflows, and other data engineering tasks. Prefect is designed with flexibility in mind, and can be integrated with a variety of existing tools and systems. It provides a Python-based API for defining workflows, and includes a web-based user interface for monitoring and managing workflows. One of the key features of Prefect is its fault-tolerant execution model. Workflows defined using Prefect can be run locally or in the cloud, and can be automatically restarted if a failure occurs. This helps ensure that data processing and management tasks are completed successfully, even in the face of errors or system failures. Another important feature of Prefect is its support for distributed execution. Workflows can be parallelized and executed across multiple machines or nodes, allowing for scalable processing of large datasets. Overall, Prefect is a powerful tool for data engineering, providing a flexible and robust platform for building and managing complex workflows. It is widely used in industry for data engineering and data processing tasks, and its open-source nature allows for easy customization and extension to fit a variety of use cases.