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.
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.
