TIBCO iProcess Suite and Apache Airflow are both workflow automation tools catering to different market needs. TIBCO iProcess Suite seems to have an edge in pricing and customer support, while Apache Airflow is preferred for its extensive features in sophisticated workflow management tasks.
Features: TIBCO iProcess Suite offers robust business process management capabilities with a focus on process automation and integration into enterprise systems. Key features include extensive enterprise system integration, comprehensive BPM capabilities, and process automation tools. Apache Airflow stands out for its advanced workflow orchestration capabilities, which are ideal for data engineering pipelines. It supports complex dependency management, detailed scheduling options, and is designed specifically for data processing workflows.
Ease of Deployment and Customer Service: TIBCO iProcess Suite provides a comprehensive deployment model with strong customer support, enhancing ease of integration into existing enterprise systems. Apache Airflow, as an open-source tool, requires more technical expertise for deployment and troubleshooting, which can affect customer service responsiveness and overall experience.
Pricing and ROI: TIBCO iProcess Suite involves a higher initial setup cost due to its enterprise-oriented features, offering substantial ROI through process efficiency and reliable support. Apache Airflow, with its open-source nature, presents lower initial costs, promising quicker ROI for teams skilled in data engineering. Additional costs may arise from necessary infrastructure and maintenance investments.
| Product | Market Share (%) |
|---|---|
| Apache Airflow | 3.5% |
| TIBCO iProcess Suite | 0.8% |
| Other | 95.7% |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 3 |
| Large Enterprise | 24 |
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.
