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Automation Anywhere vs Python RPA comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024
 

Categories and Ranking

Automation Anywhere
Ranking in Robotic Process Automation (RPA)
3rd
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
525
Ranking in other categories
Process Mining (1st)
Python RPA
Ranking in Robotic Process Automation (RPA)
23rd
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Nelson F. Guerrero - PeerSpot reviewer
Saved us half a million dollars and 10,000 hours in the first year
There have been numerous improvements in the organization. We have saved hours and time and hard dollars. In the first year, we saved over half a million dollars. That was about six months of time. After that, we have done at least three million year over year, and we have increased that very much. As far as time saved, it is well over 10,000 hours in the first year alone, and we continue to grow. This year, we are projecting 30,000 manual hours saved. Prior to the implementation of Automation Anywhere, we had lots and lots of manual work. People would go into Excel and copy data from one master sheet to many sheets. They would compile data. They would take lots of time to do these things. Today, they can go in, press a button, and launch it. They can download hundreds and thousands of invoices, whereas previously, they used to do it manually. One of our use cases saved two people four days a week of time, which is 32 hours each. We now do that automatically in six hours. The learning curve is initially a little daunting, but after you are in there and you understand how it works, it is very seamless. It is very easy to pick up and very intuitive, and then from there, it is pretty much you go and get your hands dirty. The tools that we integrate with Automation Anywhere so far have been Python scripts and PowerShell. We have got Power Automate and Power Flows from Microsoft. We are starting to do some cognitive RPA. We are implementing OpenAI through Azure. We have got a lot of that going right now. The integration with all of the documents and APIs is very seamless. There are packages available in the store if you do not have the integration built-in out of the box. They are available to everyone. Everything that we have been able to use has been just drag and drop. We can just pop in our credentials and be done. Automation Anywhere has affected us in a positive way in terms of employee capacity and compliance. We have not had to backfill roles. We have not necessarily replaced people, and that is by intent. We did not want to replace people, but we also did not want to have to backfill people. We wanted people to focus on things that they value and be more productive instead of doing mind-numbing things that get no value, but they just have to do it. Our time and cost savings have been immense since the beginning. In our first year, after we started launching the bots in June or July of 2019, we saved half a million dollars and 10,000 man-hours. Since then, we have grown more than 70% year over year. This year, we are on track to go up to about 40,000 man-hours saved and more than three million hard dollars saved. They have been able to provide automation at scale pretty well. We fired up and started off with only three production machines. We are now up at five. Officially, we were going up to seven as of next week. We have heard about people here at the Imagine conference who, for example, have hundreds, so the point is proven, and the facts are there. They can scale up very quickly. The main Automation Anywhere Program offering we use is Pathfinder. We have not utilized our partner services or anything like that, but Pathfinder has been great. Their user groups have been great. To be able to focus and see the product launches beforehand has always been advantageous. The ability to see that has been good.
Arno Krause - PeerSpot reviewer
Helps streamline operations, the error handling capability is fairly good, and integrations are easy
Keyword-driven automation has been beneficial in streamlining operations. The error handling capability of Python RPA is fairly good in managing exceptions. I rate it a seven out of ten. We've integrated it with Jenkins and with our release pipeline. It was fairly easy. We had no issues with integration that we couldn’t deal with. The dashboard is simple. We export it to Excel or Power BI and make it look pretty. For our initial use, the dashboard is okay.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Unattended use is its most valuable feature."
"The most valuable feature is recording in the Control Room, as it allows me to chose what I want to have recorded, ensuring that I get the right thing on time."
"We are getting massive efficiencies across our back office, internally."
"It is easy to use. It helps to reduce your man-hours and manual effort."
"We have automated the equivalent headcount of 500 FTEs since we started. Those people haven't been laid off. They are just doing different types of work activities."
"Being able to connect with third-party tools is the best feature."
"Training videos are very good and include detailed examples, which is really helpful for beginners."
"Automation Anywhere improved our organization since it saved us a lot monetary value."
"Instead of writing multiple lines of code, we can do it in a single statement."
"It's possible to use the solution with other tools. It's very agile."
"Keyword-driven automation has been beneficial in streamlining operations."
 

Cons

"Scaling from small to medium automation works well, but if building out very big applications, sometimes the code can be too lengthy and uncontrollable."
"We would like to have a better debugging facility."
"Their bot runners could be made to handle multiple payloads at the same time because if I want to run multiple parallel operations, the number of bot runners that I have to buy just keeps increasing. It is adding to the cost. However, there is a possibility that we don't need that many bot runners, and we can run multiple operations in a bot runner. This would be a great addition to have."
"The cost of this solution can be improved."
"Though IQ Bot is the most powerful and effective cognitive OCR platform for data extraction in the market, still, there is a lot of scope for improvement as there are a lot of non-standard documents which do not give a high straight-through processing rate and accuracy."
"There could be more training provided by Automation Anywhere."
"We have a lot of use cases that depend on certain Java applets, and currently we're not able to leverage the Object Cloning that would speed up our automation designing. So we have to revert to more image recognition-type of designing, and it just takes a long time to get that bot built."
"The UI can be improved a little bit to make it easier for beginners to understand."
"When we call an API and there is an error, it doesn't tell you what the error is."
"It can be expensive to deploy a lot of models in the cloud, especially if there are large amounts of data."
"Support could be improved."
 

Pricing and Cost Advice

"With the rebate processing automation that we did, it has provided us a savings of around an hour or two a person on a daily basis, which is quite a lot of savings."
"Our licensing costs are setup on an annual basis."
"The pricing is reasonable and one can achieve ROI faster when compared to other tools."
"The pricing and licensing of Automation Anywhere plays an important rule in the Indian market because in the Indian market $10,000 USD is too much. Hence, the pricing tends to go down depending on the customer relationship with the partner: A starter pack is $10,000 and an enterprise pack is $100,000. If you go through an implementation partner, you can get good deals. They can save some money."
"Automation Anywhere is expensive, making it suitable only for enterprise organizations."
"We save 34,000 hours of time per year and have recouped up to $6000 in lost revenue."
"I think the solution's pricing is reasonable."
"I feel the cost of licensing is very high for the A2019 version."
"I am using an open-source solution."
"The tool is not expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
11%
Healthcare Company
5%
Manufacturing Company
15%
Financial Services Firm
14%
Computer Software Company
9%
Educational Organization
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

How good is Automation Anywhere for RPA processes?
It depends on your use case. Is it simply to automate a couple of processes? Is it to augment a human team? AA is very good in certain situations but lacks in others. For me, it's more the team tha...
How good is Automation Anywhere for RPA processes?
From my experience using AA tool, it depends on the applications that you want to automate, because there some applications that AA has limitations for, such as the Oracle. For web-based applicatio...
How good is Automation Anywhere for RPA processes?
It is a highly preferred RPA tool. You can check my Automation Anywhere Review to know more.
What do you like most about Python RPA?
Keyword-driven automation has been beneficial in streamlining operations.
What needs improvement with Python RPA?
I've worked with file detection for secure transactions. I use a machine learning model to predict events related to security transactions by predicting possible routes in advance. They need to imp...
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise
No data available
 

Learn More

Video not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about Automation Anywhere vs. Python RPA and other solutions. Updated: December 2024.
824,053 professionals have used our research since 2012.