Best Workflow Management Software for DataHub
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Compare the Top Workflow Management Software that integrates with DataHub as of July 2025
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This a list of Workflow Management software that integrates with DataHub. Use the filters on the left to add additional filters for products that have integrations with DataHub. View the products that work with DataHub in the table below.
What is Workflow Management Software for DataHub?
Workflow management software is a type of software designed to help organizations streamline their business processes. It allows users to create and track tasks, assign them to team members, and monitor progress in real-time. The software can also automate routine tasks and send notifications when deadlines are approaching. With its user-friendly interface, team collaboration is made easier and more efficient. This software is commonly used in various industries such as healthcare, finance, manufacturing, tech, and more. Compare and read user reviews of the best Workflow Management software for DataHub currently available using the table below. This list is updated regularly.
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1
Prefect
Prefect
Prefect Cloud is a command center for your workflows. Deploy from Prefect core and instantly gain complete oversight and control. Cloud's beautiful UI lets you keep an eye on the health of your infrastructure. Stream realtime state updates and logs, kick off new runs, and receive critical information exactly when you need it. With Prefect's Hybrid Model, your code and data remain on-prem while Prefect Cloud's managed orchestration keeps everything running smoothly. The Cloud scheduler service runs asynchronously to ensure your runs start on time, every time. Advanced scheduling options allow for scheduled parameter value changes as well as the execution environment for each run! Configure custom notifications and actions when your workflows change state. Monitor the health of all agents connected to your cloud instance and receive custom alerts when an agent goes offline.Starting Price: $0.0025 per successful task -
2
Apache Airflow
The Apache Software Foundation
Airflow is a platform created by the community to programmatically author, schedule and monitor workflows. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity. Airflow pipelines are defined in Python, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Easily define your own operators and extend libraries to fit the level of abstraction that suits your environment. Airflow pipelines are lean and explicit. Parametrization is built into its core using the powerful Jinja templating engine. No more command-line or XML black-magic! Use standard Python features to create your workflows, including date time formats for scheduling and loops to dynamically generate tasks. This allows you to maintain full flexibility when building your workflows.
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