Appian and Apache Airflow compete in the enterprise software sector, focusing on business process management and workflow orchestration, respectively. Appian has the edge in rapid application development due to its low-code platform, while Apache Airflow leads in workflow automation with its strong Python integration.
Features: Appian offers rapid low-code development, making it easier to quickly deploy applications. Its strengths include robust process design, easy case management, and excellent integration capabilities requiring minimal coding. Apache Airflow is recognized for its Python-based workflow orchestration, which simplifies integration with data science tools and allows significant customization through coding. Its open-source nature adds cost-effectiveness and adaptability for large-scale data tasks.
Room for Improvement: Appian needs improvements in UI customization and offline capabilities. Broader ecosystem compatibility, flexibility in architectural design, and enhanced DevOps support are desired. Apache Airflow could benefit from real-time scheduling support, a modernized user interface, and user-friendly features like drag-and-drop functionality. It also needs more built-in connectors and better documentation.
Ease of Deployment and Customer Service: Appian supports a wide range of deployment options including public, private, hybrid clouds, and on-premises. While customer service is rated well, faster response times are needed. Apache Airflow, also used across various cloud environments and on-premises, relies heavily on community support, as official support is limited, posing challenges for complex issues.
Pricing and ROI: Appian can be expensive but offers rapid ROI through efficient process automation and flexible licensing options. Cloud-based options help control costs. Apache Airflow, an open-source tool, provides significant cost advantages despite infrastructure costs. Its ROI is realized in operational efficiencies due to its flexibility in managing data pipelines.
There is enough documentation available, and the community support is good.
Forums and community resources like Stack Overflow are helpful.
Apache Airflow scales well, especially when deployed in Kubernetes environments.
The solution is very scalable.
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.
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.
Reliability is good, and when integrated with Kubernetes, it performs better compared to on-premises environments.
Apache Airflow is an open-source platform that allows easy integration with AWS, Azure, and Google Cloud Platform.
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.”
Appian is a unified low-code platform and solution used by businesses to build enterprise applications and workflows. This product adapts to the needs of clients and the technologies they are already using to combine their data in a single workflow and maximize resources. The platform has four main components through which it transforms the work process for companies of various sizes. They are:
Appian is utilized across a diverse set of industries, including automotive and manufacturing, energy and utilities, education, financial services, telecom and media, transportation, retail, insurance, healthcare, and life sciences. The most frequent use cases of Appian are customer journey, governance, risk and compliance, operational efficiency, supply chain, distributed order management, and environmental, social, and governance (ESG) management.
Appian Features
Appian has various features that allow users to create solutions for their businesses. These features can be separated into a few groups according to function, including automation, low-code application development, and integrations and data. Some of the most frequently used features of Appian include:
Appian Benefits
The benefits of using Appian include:
Reviews from Real Users
A practice leader - digital process automation at a computer software company values Appian highly because the product is easy to develop, low-code, and has a good user interface.
Alan G., an advisory board member at Codecon VR, Appian offers a clear application life cycle, easy to learn documentation, and comes with a fundamentals course.
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