Best Workflow Management Software for Netdata
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Compare the Top Workflow Management Software that integrates with Netdata as of July 2025
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This a list of Workflow Management software that integrates with Netdata. Use the filters on the left to add additional filters for products that have integrations with Netdata. View the products that work with Netdata in the table below.
What is Workflow Management Software for Netdata?
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 Netdata currently available using the table below. This list is updated regularly.
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OTRS
OTRS Group
OTRS is a solution desk that can be used to support nearly any team in your company. It brings together all of the tools that make service management successful, including: - ticketing, - calendaring, - CMDB, - process management, - reporting, - multiple channels for customer access, - knowledge base, - service catalog and more. Your teams have all the information and workflows they need right at their fingertips so that they can offer seamless service and build customer satisfaction. Customers love the self-service options that are available through an external portal: You can share knowledge base articles, informational pages and allow them to send requests right to your team. The OTRS service management solution was awarded the SERVIEW CERTIFIED TOOL seal of approval. -
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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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