OpenText 360 for SharePoint and Apache Airflow compete in the enterprise environments category. Despite OpenText 360's strength in integration and collaboration, Apache Airflow has an edge with its flexibility and workflow management capabilities.
Features: OpenText 360 for SharePoint includes robust document management, seamless integration with SharePoint, and essential collaboration tools. Apache Airflow provides flexibility for data pipeline integrations, automatic scheduling, and effective workflow management. OpenText's document capabilities are superior, whereas Apache Airflow excels in automating complex workflows.
Room for Improvement: OpenText 360 could enhance its flexibility and support for non-SharePoint environments. Further simplification of its interface would be beneficial. Apache Airflow would benefit from a more intuitive user interface and enhanced visualization tools. Better integration with enterprise-grade customer support and user management features could improve its service offerings.
Ease of Deployment and Customer Service: OpenText 360 for SharePoint offers straightforward deployment through its integration with SharePoint, backed by prompt, professional support. In contrast, Apache Airflow, an open-source solution, requires technical expertise for initial deployment and relies more on community-driven support, making its setup more complex.
Pricing and ROI: OpenText 360 involves higher initial costs due to licensing but potentially offers significant ROI through enhanced document management efficiency. Apache Airflow, being open-source, provides cost-effective initial deployment but may lead to higher long-term costs related to setup and support, affecting ROI timelines.
It eliminates the challenges associated with handling files on local servers and allows efficient document management.
Forums and community resources like Stack Overflow are helpful.
There is enough documentation available, and the community support is good.
I have not directly contacted vendor support but use forums for any queries or issues while utilizing OpenText 360 for SharePoint.
The solution is very scalable.
Apache Airflow scales well, especially when deployed in Kubernetes environments.
I would rate its stability at nine out of ten.
Apache Airflow is stable and I have not experienced significant issues.
I would rate the stability of the solution as ten out of ten.
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.
Integration with a feature like Planner could assist in assigning tasks to specific individuals for follow-up.
The GUI should be improved for better user experience.
It is a sub-feature and not an individual purchase.
I prefer using the open-source version rather than the enterprise version, which helps manage costs.
Apache Airflow is a community-based platform and is not a licensed product.
Pricing is very affordable as it is part of the Office 365 suite, costing around five dollars per user.
In terms of pricing, OpenText 360 for SharePoint is more expensive than Microsoft.
Reliability is good, and when integrated with Kubernetes, it performs better compared to on-premises environments.
Apache Airflow is an open-source platform that allows easy integration with AWS, Azure, and Google Cloud Platform.
We can create notifications for successful or failed tasks, providing a practical way to monitor our workflows.
OpenText 360 for SharePoint significantly saves time for users by streamlining the tasks of handling, searching, and maintaining documents compared to traditional file servers.
It offers automation capabilities with Power Automate, enabling automation of invoicing with API support from SAP.
Apache Airflow is an open-source workflow management system (WMS) that is primarily used to programmatically author, orchestrate, schedule, and monitor data pipelines as well as workflows. The solution makes it possible for you to manage your data pipelines by authoring workflows as directed acyclic graphs (DAGs) of tasks. By using Apache Airflow, you can orchestrate data pipelines over object stores and data warehouses, run workflows that are not data-related, and can also create and manage scripted data pipelines as code (Python).
Apache Airflow Features
Apache Airflow has many valuable key features. Some of the most useful ones include:
Apache Airflow Benefits
There are many benefits to implementing Apache Airflow. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the Apache Airflow solution.
A Senior Solutions Architect/Software Architect says, “The product integrates well with other pipelines and solutions. The ease of building different processes is very valuable to us. The difference between Kafka and Airflow, is that it's better for dealing with the specific flows that we want to do some transformation. It's very easy to create flows.”
An Assistant Manager at a comms service provider mentions, “The best part of Airflow is its direct support for Python, especially because Python is so important for data science, engineering, and design. This makes the programmatic aspect of our work easy for us, and it means we can automate a lot.”
A Senior Software Engineer at a pharma/biotech company comments that he likes Apache Airflow because it is “Feature rich, open-source, and good for building data pipelines.”
We monitor all Business Process Management (BPM) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
