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Python RPA vs SAP Build Process Automation comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Automation Anywhere
Sponsored
Ranking in Robotic Process Automation (RPA)
2nd
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
663
Ranking in other categories
Business Process Management (BPM) (2nd), Process Mining (1st), Intelligent Document Processing (IDP) (1st), Agentic Automation (1st), Business Orchestration and Automation Technologies (2nd), AI Legal & Compliance (1st), AI Finance & Accounting (1st), AI Procurement & Supply Chain (1st)
Python RPA
Ranking in Robotic Process Automation (RPA)
15th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
3
Ranking in other categories
No ranking in other categories
SAP Build Process Automation
Ranking in Robotic Process Automation (RPA)
43rd
Average Rating
0.0
Reviews Sentiment
6.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2026, in the Robotic Process Automation (RPA) category, the mindshare of Automation Anywhere is 5.5%, down from 9.6% compared to the previous year. The mindshare of Python RPA is 0.9%, down from 2.1% compared to the previous year. The mindshare of SAP Build Process Automation is 0.9%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere5.5%
Python RPA0.9%
SAP Build Process Automation0.9%
Other92.7%
Robotic Process Automation (RPA)
 

Featured Reviews

Venkat Sivaprakash - PeerSpot reviewer
Management Consultant at Accenture
Has significantly improved document-driven workflows and reduced processing time across finance and HR functions
Automation Anywhere has evolved significantly and upgraded itself to provide agentic AI and AI-based automation solutions for document automation. The product has matured considerably over time. We can create workflows that can call an API. We can include prompts in particular workflows for ChatGPT-related functions, connecting to an LLM and RAG to perform tasks. For document automation, modern features are available to train documents, ensuring high accuracy and repeatability over time. The system is very easy to use. I recently completed a course in document automation, typically designed for people involved in coding and technical aspects. Though I understand coding comprehensively, I don't do actual coding. The course was very accessible. Currently, extensive coding isn't necessary due to the hybrid model incorporating GenAI aspects, low-code, no-code capabilities, APIs, and numerous pre-built objects in Automation Anywhere. The features include GenAI-driven prompting methods and workflow creation capabilities. In these workflows, we can create decision boxes and call APIs without coding. We simply pull objects, drop them, connect them, and add minimal coding when needed. The most crucial aspect isn't coding but rather sizing the automation and fleshing out the details. Automation Co-pilot takes notes and performs automated analysis. It can extract details from videos, summarize conversations, and provide detailed information. During calls, it identifies instructions and performs tasks such as preparing reports and reconciliation. Automation Anywhere can also connect with Microsoft Co-pilot. Through Co-pilot, real-time operations can be executed, allowing direct interaction between vendors and automation through this component.
Natalia  Raffo - PeerSpot reviewer
Co - Founder & Chief Data Officer -CDO at Data360
Robust and good for data processing while being helpful for building data science use cases
The processing of data is good. We can use many different types of data, including images and videos. We can use different libraries to do better preprocessing of different types of data. We can do different models in recommendation systems for things like videos and sales strategy. We can do language processing or sentiment analysis to predict things for our clients. We can design and develop machine learning applications that can predict events. We can use these on libraries to solve complex problems when we have a lot of data. It's possible to use the solution with other tools. It's very agile. In the financial advisory and portfolio management space, several budget management applications are now available in the market. These have machine learning based functionality. In Python, I use different machine learning algorithms to enable customers to keep track of their expenses and provide recommendations on better savings. These are machine learning algorithms that customize financial portfolios by looking at income rate tolerance and preferences, et cetera.
CV
CTO at Atheneum
Simplifies integrations and is suitable for large companies
Sometimes, when our company develops using the latest technology, the knowledge is not yet cycled down to the tool's support team. The tool's support team is not mature enough to handle the tool. The promotion of a feature before it is mature may cause issues, and I feel that sometimes the deployment of such features is a little too early. The tool will release a feature, but it will have bugs in it. We face challenges because the tool's team doesn't have the knowledge to deal with the issues in the product's new features. When SAP develops something, if the tool's team doesn't know how to support it, it becomes a problem because now we have to access developers to get the information that is not readily available.

Quotes from Members

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

Pros

"Movement on cloud architecture according to me provided by AA2019, will be most beneficial as it will be easy to use and will provide flexibility."
"Automation Anywhere has provided the capability to automate repetitive tasks for the organization, which in turn has lead to a lot of cost-savings."
"My clients have seen ROI, as what would take them two to three days in work is now taking them two to three hours."
"There is one user registration process in one application where there is no API which has been published by that framework. This is a very proprietary in one application by a third-party. So, there was a help desk, and whenever a call went to the help desk, they had a front-end where they created these user registrations. Now, this is completely automated for all employees who are onboarded. We receive the data, it is put it into Excel, and from Excel, it will update it into the particular tool where the registration happens."
"The core RPA service that it provides and the stability that it has in maintaining that as a cloud service solution is a key enabler for us. Its stability is good, and the low-code/no-code setup that it has is very user-efficient."
"Automation Anywhere has improved our company a lot, because we are currently trying to leverage automation in different departments to allow employees to work where more human intervention is needed."
"We have saved time and money using the solution."
"Bot creation is a cool feature. It allows the developer to do complex things."
"Instead of writing multiple lines of code, we can do it in a single statement."
"Keyword-driven automation has been beneficial in streamlining operations."
"It's possible to use the solution with other tools. It's very agile."
"The most valuable feature of the solution is that it offers an integrated development environment."
 

Cons

"As far as stability is concerned, there have been some challenges. Sometimes, we experience our computers freezing up for no apparent reason or the network being inaccessible."
"The setup process is not easy compared to the competition, and this can be a barrier to entry."
"Intelligent automation is currently a buzz and I would love to see more innovation in this segment."
"I would like to see a built-in read-only role for the control room so that the bot creators can log in and monitor the production environment without any auditing concerns."
"The A2019 in early releases had been quite unstable to our experience."
"The only thing I would advocate for is making Automation Anywhere's developer environment Mac-enabled because many of our graduate students are coming out of school with Macs. Everything else in the Automation Anywhere world is built for Windows."
"One aspect I don't appreciate about Automation Anywhere is the way variables are handled. Many things seem to become a string, which makes it hard to code and keep track of items when everything's a string."
"In the A2019 community edition, while running its taking time to run RPA bots and having few bugs related to IQ Bot server connectivity and other things."
"Support could be improved."
"It can be expensive to deploy a lot of models in the cloud, especially if there are large amounts of data."
"When we call an API and there is an error, it doesn't tell you what the error is."
"The tool's support team is not mature enough to handle the tool."
 

Pricing and Cost Advice

"The ROI is really good. We have saved time and money."
"Our pricing a year ago was $600 per license."
"Talk to your manager and try to procure an automation license for training. This will allow you to train people, so you can move to automation."
"We only deal in annual licenses. There are no pay-as-you-go licenses."
"The starting price, which is a one-off fee is a bit high and this may deter mid and small-sized companies from acquiring and decide to shun the platform."
"The setup cost depends on multiple factors, so you need to get details before choosing."
"Their licensing processes are in par with most industry standards."
"In the Indian market, I feel that for mid-size companies, such as ourselves, that having multiple bots costs a lot. If Automation Anywhere wants to expand in the Indian market, they will need to look at their pricing."
"The tool is not expensive."
"I am using an open-source solution."
"The product is not cheaply priced."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
12%
Construction Company
10%
Outsourcing Company
9%
Financial Services Firm
14%
Manufacturing Company
11%
Construction Company
9%
Marketing Services Firm
6%
Energy/Utilities Company
11%
Computer Software Company
9%
Manufacturing Company
8%
Financial Services Firm
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business159
Midsize Enterprise81
Large Enterprise554
No data available
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 ver...
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 applic...
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 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 ...
What is your primary use case for Python RPA?
In our team, we construct different statistical models to resolve things for clients. We do modelling and segmentatio...
What advice do you have for others considering Python RPA?
We're just a customer. It's a good tool. It's easy. I can use it in many different ways and for many different use ca...
What is your experience regarding pricing and costs for SAP Build Process Automation?
The product is not cheaply priced. In a development environment, the tool simplifies landscape management, etc. Wheth...
What needs improvement with SAP Build Process Automation?
Sometimes, when our company develops using the latest technology, the knowledge is not yet cycled down to the tool's ...
What is your primary use case for SAP Build Process Automation?
I use the solution in my company for the development of applications.
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
No data available
No data available
 

Interactive Demo

Demo not available
Demo 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
1. Accenture 2. Airbus 3. Allianz 4. Aon 5. AT&T 6. Bayer 7. BMW 8. Bosch 9. Cisco 10. Coca-Cola 11. Colgate-Palmolive 12. Comcast 13. Deloitte 14. Deutsche Bank 15. Ericsson 16. FedEx 17. General Electric 18. GlaxoSmithKline 19. Google 20. HSBC 21. IBM 22. Intel 23. Johnson & Johnson 24. JPMorgan Chase 25. Kimberly-Clark 26. KPMG 27. Liberty Mutual 28. Mastercard 29. Merck 30. Microsoft 31. Nestlé 32. Nike 33. Novartis 34. Oracle 35. PepsiCo 36. Pfizer 37. Procter & Gamble 38. PwC 39. SAP 40. Siemens 41. Sony 42. Spotify 43. Swiss Re 44.Toyota
Find out what your peers are saying about UiPath, Automation Anywhere, Microsoft and others in Robotic Process Automation (RPA). Updated: June 2026.
906,829 professionals have used our research since 2012.