Find out in this report how the two Business Process Management (BPM) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
In terms of cost, we participated in projects achieving two to three million dollars in annual savings.
As a return on investment, we have achieved a 250% ROI in six to nine months, and sometimes it increases up to 380% percent.
Automation Anywhere has helped us save money.
There is enough documentation available, and the community support is good.
Forums and community resources like Stack Overflow are helpful.
Whenever we need help, we can reach out to them, and they help us out.
We also have dedicated account managers and technical experts to solve our problems related to Automation Anywhere.
We just have to raise a ticket, after which we receive a call, email, or ping from the Automation Anywhere team.
The solution is very scalable.
Apache Airflow scales well, especially when deployed in Kubernetes environments.
As we are using Microsoft Copilot for our AI agents, I look forward to integrating it with Automation Anywhere and its solutions, seeing it as a beneficial partnership as Automation progresses toward AI as the main solution.
For Windows-based applications, it provides UI interface automation, which enhances its scalability.
Automation Anywhere is highly scalable for both horizontal and vertical expansions.
I would rate the stability of the solution as ten out of ten.
Apache Airflow is stable and I have not experienced significant issues.
I would rate its stability at nine out of ten.
With the latest applications, there are no significant issues like freezing or crashing.
From a stability and reliability perspective, we can remain confident that the product performs as an enterprise solution and meets expected standards.
If you have good best practices, reusable code, an effective framework, and a solid development methodology, bots can be very stable.
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.
If we desire to add custom messengers or a rest API, those options are unavailable.
It is better to write a Python script instead of using Automation Anywhere's package when dealing with Excel because it is buggy and tends to break.
Making the product more lightweight by reducing its dependency on infrastructure could greatly help in the long run.
It would be beneficial if the platform provided options for power developers to integrate seamlessly with languages like Java or C#, allowing them to write their own scripts and code.
I prefer using the open-source version rather than the enterprise version, which helps manage costs.
It is a sub-feature and not an individual purchase.
Apache Airflow is a community-based platform and is not a licensed product.
It is more cost-efficient compared to all other RPA platforms.
Automation Anywhere costs are aligned with UiPath and Blue Prism, which are also expensive.
It is not cheap, with costs ranging between 700 to 800 dollars per month.
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.
We can create notifications for successful or failed tasks, providing a practical way to monitor our workflows.
I can set it up to provide users with a form to fill in all required information, and then the bot operates based on those specifications.
For example, the email module has been enhanced over the years to support all the latest authentication technologies. That is very important as we move away from username and password and embrace multi-factor authentication.
Automation Anywhere has undergone drastic changes over the past five years, transitioning from version 10 to A360, including desktop-based and cloud-based options.
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.”
Automation Anywhere offers a robust automation platform known for its user-friendly interface, flexible scalability, and advanced automation capabilities. It's designed to streamline operations across industries by automating manual and repetitive tasks.
Automation Anywhere empowers organizations with its easy-to-use platform that simplifies automation processes through its drag-and-drop functionality. With features like MetaBot and IQ Bot, it provides advanced automation solutions. The platform seamlessly integrates with business applications, ensuring efficient operation and data protection through security features like the credential vault. Despite its strengths, there is room for improvement in integration with source control systems and third-party applications. Enhancing UI friendliness, IDE capabilities, and licensing flexibility, along with improved support in the Citrix environment, are needed. Better OCR accuracy, AI functionalities, and Excel integration would enhance user experiences.
What are Automation Anywhere's key features?
What benefits and ROI should users look for?
In the finance sector, Automation Anywhere is used for tasks like accounts payable, accounts receivable, and invoice processing. In HR, it's implemented for onboarding, payroll, and attendance verification. Its deployment also extends to supply chain, compliance, and customer service, providing streamlined operations by automating complex business processes.
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