

SAP Signavio Process Manager and Apache Airflow are competing process management solutions. Apache Airflow appears to have an edge due to its robust integration and automation capabilities, beneficial for Python-oriented environments.
Features: SAP Signavio Process Manager is renowned for its collaborative process mapping, offering a workspace where global teams can engage and improve workflows together. The tool's modeling capabilities and version management ensure comprehensive process documentation. In contrast, Apache Airflow excels in orchestrating complex workflows through Directed Acyclic Graphs (DAGs), crucial for Python-based integrations, allowing seamless automation and workflow monitoring.
Room for Improvement: SAP Signavio Process Manager could improve by refining its interface to better accommodate complex workflows and integrating a document management system. Enhancements in predictive analytics and user license flexibility would also benefit adoption. Apache Airflow requires improved support for pipelined workflows, a more user-friendly interface, and better technical support. It lacks cyclic graph support and faces challenges in platform integration and scaling simplicity.
Ease of Deployment and Customer Service: Both SAP Signavio Process Manager and Apache Airflow support various cloud deployment options, including public and private clouds. SAP Signavio is commended for its proactive customer service, despite minor communication issues, providing timely assistance. Apache Airflow relies on community support due to its open-source nature, where support quality can vary, making it less reliable than SAP Signavio's service.
Pricing and ROI: SAP Signavio Process Manager offers a flexible pricing model, though it can be costly, particularly with SAP integration. Despite higher costs, organizations see ROI through enhanced process optimization and collaboration. Apache Airflow, as an open-source tool, provides a cost-effective entry point with expenses depending on deployment infrastructure, yielding substantial ROI in automation efficiency, though detailed ROI tracking remains uncommon due to its nature and diverse deployment scenarios.
We can draw and document our processes, then analyze data within SAP Signavio Process Manager.
There is enough documentation available, and the community support is good.
Forums and community resources like Stack Overflow are helpful.
We can see what bugs are currently being addressed and what fixed versions are released in the official Git repository.
I would rate their technical support a ten.
We had countless connects with the product team to resolve issues related to LeanIX integration.
I have not encountered issues myself, but one of my colleagues found that support was provided quite late, resolving the problem in one or two days rather than instantly.
The solution is very scalable.
Apache Airflow scales well, especially when deployed in Kubernetes environments.
There is an auto-scaling feature called KEDA, which is Kubernetes event-driven auto-scaling offered by Apache Airflow.
Almost all customers would buy into this because it is offering a benchmark, enabling them to see what they are investing in and its value.
I would rate the stability of the solution as ten out of ten.
Apache Airflow is stable and I have not experienced significant issues.
I would rate its stability at nine out of ten.
The multiple channels it offers in terms of transparency allow many people to share and communicate without needing external channels, which makes it very reliable.
It is not suitable for real-time ETL tasks.
There is no dashboard for us to check all the Directed Acyclic Graphs (DAGs); a dashboard would help us analyze the work better.
If we desire to add custom messengers or a rest API, those options are unavailable.
It should also integrate with non-SAP systems for better functionality.
I think the price of SAP Signavio Process Manager is a little bit high.
Despite trying several times, I still do not get it. SAP could consider having AI capabilities to suggest how it can be done immediately on the screen itself, perhaps in the form of a virtual assistant or something.
I prefer using the open-source version rather than the enterprise version, which helps manage costs.
It is a sub-feature and not an individual purchase.
Apache Airflow is a community-based platform and is not a licensed product.
After SAP acquired Signavio, the prices increased significantly, making it too expensive for our small company to afford.
From an India INR standpoint, it felt pricey initially. But at the same time, I think the value it brought to the organization was much greater than what we paid for.
Apache Airflow is an open-source platform that allows easy integration with AWS, Azure, and Google Cloud Platform.
Reliability is good, and when integrated with Kubernetes, it performs better compared to on-premises environments.
The positive impact and benefits I have seen from using Apache Airflow on my company is that since it is an open-source tool and not licensed, we can get that tool as open source and integrate and modify it as much as we can.
The ability to perform queries is a feature unique to SAP Signavio Process Manager, and it proves to be very useful for our needs.
It has a tool that analyzes your data and shows you where the areas of change for improvement are.
The third most important feature from a process excellence standpoint is the repository that is provided. There is a dictionary feature that avoids duplication and allows processes to be standardized across regardless of which teams build the process maps.
| Product | Mindshare (%) |
|---|---|
| Apache Airflow | 2.8% |
| SAP Signavio Process Manager | 3.0% |
| Other | 94.2% |

| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 4 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 6 |
| Large Enterprise | 45 |
Apache Airflow is a Python-based platform that simplifies task scheduling, workflow orchestration, and monitoring of ETL processes with a user-friendly UI and integration capabilities.
Apache Airflow facilitates workflow automation through its open-source framework, offering extensive customization and scalability. Users benefit from its visual DAG representation, event-based scheduling, and task retry functionality. Frequent updates and rich integration features allow seamless interaction with platforms like AWS and Google Cloud, while Python-friendly configurations enable robust error handling and notifications. Despite requiring improvements in integration and documentation, its application spans industries such as technology, finance, and entertainment, supporting tasks like data ingestion and synchronization.
What are the key features of Apache Airflow?Apache Airflow's deployment in industries like technology, finance, and entertainment is primarily focused on automating ETL processes, managing media workflows, and orchestrating data transformation tasks. It effectively integrates with tools such as SQL scripts and Databricks, enabling organizations to manage data pipelines efficiently in both cloud and on-premises environments.
SAP Signavio Process Manager offers an intuitive interface focused on ease of use, facilitating collaboration and governance. It's ideal for quick adoption within organizations, supporting process mining and intelligence to drive continuous optimization.
Offering a comprehensive web-based repository, SAP Signavio Process Manager excels in governance with its intuitive drag-and-drop modeling capabilities. The Collaboration Hub fosters transparency and discussion, crucial for organizations focusing on compliance and process optimization. Users find it efficient for internal training without requiring external resources. Despite its strengths, enhancements like simultaneous editing, improved integration with non-SAP systems, and advanced reporting are desired. Organizations often use it to capture and document business processes, facilitating compliance, audits, and digital transformation efforts.
What are the key features of SAP Signavio Process Manager?In industries like finance, healthcare, and logistics, SAP Signavio Process Manager is used for optimizing workflows, facilitating digital transformation, and supporting strategic planning. It aids in resource management and enhances process understanding for better training and onboarding.
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