IBM Case Foundation and Apache Airflow compete in workflow management. While IBM Case Foundation is favorable for pricing and support, Apache Airflow holds a competitive edge in terms of features, catering to innovation-driven projects.
Features: IBM Case Foundation offers comprehensive integration capabilities, robust security options, and strong compliance, making it suitable for enterprises. Apache Airflow provides flexible task scheduling, scalability, and its open-source nature allows dynamic workflow management across industries.
Room for Improvement: IBM Case Foundation could enhance its deployment ease and flexibility in adapting to smaller project needs. Apache Airflow can improve its support system for enterprise-level features and enhance documentation for new developers. It may also benefit from more graphical workflow design options.
Ease of Deployment and Customer Service: IBM Case Foundation follows a structured deployment process requiring expert input but comes with robust support from IBM. Apache Airflow allows easier deployment with options like cloud integration and on-premises, but leans on community-driven support rather than direct assistance.
Pricing and ROI: IBM Case Foundation demands a significant initial investment, suitable for enterprises seeking long-term returns in regulated environments. Apache Airflow, as an open-source tool, offers a cost-effective implementation, promising higher ROI through reduced expenses and community enhancement opportunities.
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.
