Pega Platform and Apache Airflow compete in the enterprise solutions category, with their areas of strength differing significantly. Pega shows its advantage in comprehensive BPM solutions, while Apache Airflow leads in data engineering orchestration.
Features: Pega Platform includes robust features such as case management, integration services, and multi-channel capabilities. Its no-code approach and rapid prototyping add significant value. Apache Airflow excels in scalable, Python-based workflow orchestration, offering ease of integration with diverse systems and benefiting from its open-source nature.
Room for Improvement: Pega Platform could benefit from streamlined upgrades, a more intuitive interface, and enhanced customer support. Its cost remains a common criticism. Apache Airflow faces challenges in providing user-friendly interfaces for non-technical users, has some workflow limitations, and needs more enterprise-level support.
Ease of Deployment and Customer Service: Pega Platform supports on-premises, public, private, and hybrid cloud deployments. Its customer service is structured, though experiences can vary with issue complexity. Apache Airflow, primarily deployed on public clouds, relies heavily on community support due to its open-source model, necessitating more formal support options.
Pricing and ROI: Pega Platform's pricing reflects its comprehensive features and enterprise focus, potentially yielding strong ROI for large-scale operations but posing a cost barrier for smaller enterprises. Apache Airflow offers a cost-effective, open-source solution with expenses mainly tied to infrastructure, making it attractive for those prioritizing cost efficiency.
Forums and community resources like Stack Overflow are helpful.
There is enough documentation available, and the community support is good.
The technical support from Pega is very low, rating a one or two out of ten.
I never needed support from the platform standpoint, but if additional features are required, we have regular meetings with the product team for feedback.
Pega's technical support team is very helpful.
The solution is very scalable.
Apache Airflow scales well, especially when deployed in Kubernetes environments.
I would rate the stability of the solution as ten out of ten.
Apache Airflow is stable and I have not experienced significant issues.
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.
Pega introduced Constellation, which allows a user to build a more engaging visual experience.
My learning curve in robotics has been challenging.
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.
The pricing is expensive, and this is an issue.
Pega is priced higher than open-source options like Flowable but is suitable for large-scale industries like banking and insurance.
Apache Airflow is an open-source platform that allows easy integration with AWS, Azure, and Google Cloud Platform.
Reliability is good, and when integrated with Kubernetes, it performs better compared to on-premises environments.
Management capabilities such as dashboards.
Pega Platform is excellent for enterprise-level solutions with integrations to entire systems, including case management, service orchestration, CRM, decision-making capabilities, digital process automation, and AI-driven functionalities.
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.”
Pega Platform facilitates business process management, case management, and workflow automation for industries like banking, insurance, and healthcare. It supports digital transformation and customer service enhancements with its low-code capabilities and seamless integrations.
Pega Platform enables users to create efficient systems for case management, financial operations, and digital transformations. It provides tools for client onboarding, quoting, claims processing, customer experience improvements, and content management. Pega's low-code approach allows for the automation of complex processes, making it suitable for enterprises looking for adaptability and rapid deployment. While it offers strong real-time analytics and decision automation, users acknowledge challenges in user interface, integration, and performance aspects. High costs and a learning curve need attention, and enhancements in AI features and cloud services are desired.
What are the key features of Pega Platform?In banking, Pega Platform automates loan processing, accelerates customer onboarding, and manages compliance. Insurance companies benefit from streamlined claims processing and policy management. Healthcare sectors use the platform for patient engagement and care coordination, enabling organizations to adapt quickly to changing industry requirements.
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.
