Hyland OnBase and Apache Airflow compete in different technology categories, offering solutions for enterprise content management and workflow automation, respectively. Apache Airflow may have the upper hand due to its integration capabilities and robust features, making it ideal for data-focused teams.
Features:Hyland OnBase includes comprehensive document handling, audit trails, and compliance management. It integrates well with other applications and offers an intuitive user interface. Apache Airflow stands out with its ability to create and schedule jobs, flexibility in defining pipelines through code, and seamless integration with Python, making it valuable for data engineering tasks.
Room for Improvement:Hyland OnBase could improve by enhancing its flexibility to avoid performance issues from keyword overuse and offering more options for visually designing workflows. Apache Airflow could benefit from reducing deployment complexities, improving visual process drawing capabilities, and broadening integration options beyond current frameworks.
Ease of Deployment and Customer Service:Hyland OnBase is praised for its streamlined deployment process and extensive customer service support, which is beneficial for organizations seeking robust assistance. Apache Airflow, being open-source, may present some deployment challenges, but it benefits from a proactive developer community aiding in problem-solving.
Pricing and ROI:Hyland OnBase generally involves higher initial costs due to licensing and professional services but delivers ROI through effective document handling and compliance efficiencies. Apache Airflow, being open-source, requires investment mainly in technical expertise, yet it offers significant ROI by optimizing complex data workflows and reducing manual efforts.
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.”
Hyland OnBase is acclaimed for its robust document management, automating workflows, and improving organizational efficiency across various industries. Praised for its ability to manage records compliantly, especially in regulated sectors like healthcare and finance, the tool also integrates smoothly with other enterprise systems. Users benefit significantly from streamlined processes, reduced manual tasks, and enhanced data accuracy, boosting productivity and customer satisfaction.
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.
