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Microsoft Power Automate vs Python RPA comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024

Review summaries and opinions

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

ROI

Sentiment score
8.1
Automate delivers quick ROI by enhancing efficiency, reducing labor costs, and transforming IT operations into a profit center.
Sentiment score
7.9
Microsoft Power Automate offers cost-effective, user-friendly automation, enhancing productivity and ROI with minimal expenses and fast implementation.
Sentiment score
8.2
Python RPA boosts efficiency, reduces errors, saves costs, and enhances productivity, enabling employees to focus on higher-value tasks.
Fortra's Automate has effectively replaced the workload of an entire employee, saving us significant time and money.
It has reduced our expenditures in terms of purchasing more products and employing more technicians.
I've seen a good return on investment with Automate, as it streamlines processes and improves my productivity.
On a daily basis, it saves about two to three hours.
It has helped us save time, and we've saved thousands of hours through automation.
 

Customer Service

Sentiment score
7.4
Most users appreciate Automate's responsive, knowledgeable support, despite some issues like navigation difficulties and occasional language barriers.
Sentiment score
6.3
Microsoft Power Automate's customer service receives mixed reviews, with varied response times and support quality; expanding documentation is recommended.
Sentiment score
7.3
Python RPA is praised for responsive, knowledgeable customer support with high ratings for professionalism and effective guidance through issues.
They don't always understand the processes I'm trying to implement.
I would rate the technical support as a nine out of ten because it is quite fast and courteous.
They are very responsive and have been able to resolve any issues I have encountered.
Having experience with coding is essential to fully utilize Power Automate.
On a scale of one to ten, the technical support of Microsoft Power Automate rates as three within India, and eight or nine for support from outside India.
I complained about the failed responses and real-time synchronization, but I haven't gotten responses since then.
 

Scalability Issues

Sentiment score
7.0
Automate is praised for its scalability and flexibility, supporting easy expansion despite some cost and performance challenges.
Sentiment score
6.8
Microsoft Power Automate is scalable for business sizes but faces challenges with complexity and non-Microsoft integrations.
Sentiment score
6.9
Python RPA efficiently scales projects, handles tasks, integrates smoothly, and meets diverse needs, but optimal scaling may require expertise.
It is easy to increase one bot or one studio without needing to buy another orchestrator, which can be quite expensive.
Microsoft Power Automate is scalable enough for me and my customers.
 

Stability Issues

Sentiment score
7.0
Automate is generally stable and reliable, though performance varies with task intensity and some users report occasional issues.
Sentiment score
7.6
Microsoft Power Automate is stable with occasional glitches; users rate its stability highly and expect ongoing improvements.
Sentiment score
8.3
Python RPA is praised for its stability, reliability, and robustness in handling complex workflows with minimal glitches or errors.
It has very robust features, and it is not prone to instability.
The stability of Fortra's Automate is excellent.
The stability is good and consistent, with no fluctuations in functioning.
 

Room For Improvement

Automate needs improvements in web automation, UI complexity, security, third-party integration, cloud functionality, and documentation for better user experience.
Microsoft Power Automate requires improvements in stability, integration, training, and AI tools, facing issues with licensing and documentation.
Python RPA users face stability issues, complex setup, insufficient documentation, and slow performance with large datasets.
I would prefer not having to log in to update a ticket; being able to respond via email would be beneficial.
Integration with Amazon S3 is somewhat lacking.
I find that most important features are strong, however, there is a lack of good development for artificial intelligence, such as machine learning.
Developers should have discretion over which view they want to use, either the old designer view or the new designer view, as Microsoft is forcing the new designer view, which most developers don't prefer.
It would be better to make it a wizard more than requiring coding.
The synchronization of the feedback responses from the forms and the Excel sheets should be seamless.
 

Setup Cost

Automate offers cost-effective RPA solutions with flexible pricing, appealing to enterprises compared to competitors like UiPath and Blue Prism.
Microsoft Power Automate pricing varies by usage, with costs ranging from $10-$20 per user, potentially cheaper with Microsoft 365.
Python RPA provides flexible and competitively priced plans, beneficial for both small projects and large enterprises, with excellent support.
Competitors are often more expensive than Automate.
It offered what we wanted at a good, competitive price.
It does a lot but also costs a lot.
Microsoft Power Automate is reasonably priced compared to others in the market.
 

Valuable Features

Automate's intuitive interface and features boost efficiency and productivity, with cost-effective licensing and minimal technical expertise needed.
Microsoft Power Automate simplifies task automation with seamless integration, user-friendly design, and low-code features, enhancing productivity and efficiency.
Python RPA is valued for its ease of use, flexibility, integration, quick deployment, customization, community support, cost-effectiveness, and scalability.
Automate's non-reliance on additional orchestrators makes it quite cost-effective.
I find the ease of use from a programming perspective very valuable.
The most valuable features of Fortra's Automate include its FTP functionality and file manipulation capabilities.
We have saved thousands of hours by automating tasks that would have been labor-intensive and error-prone if done manually.
If I want to fill something in Power Platform and need to fill another item in Salesforce, instead of doing the same task in different platforms, I can directly fill it in Power Platform and integrate it with Salesforce through API in Microsoft Power Automate, and my work is complete.
Microsoft Power Automate has positively impacted my organization as it has saved a lot of time and effort.
 

Categories and Ranking

Automate
Sponsored
Ranking in Robotic Process Automation (RPA)
5th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
28
Ranking in other categories
No ranking in other categories
Microsoft Power Automate
Ranking in Robotic Process Automation (RPA)
3rd
Average Rating
7.8
Reviews Sentiment
7.0
Number of Reviews
129
Ranking in other categories
Process Mining (4th)
Python RPA
Ranking in Robotic Process Automation (RPA)
17th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Robotic Process Automation (RPA) category, the mindshare of Automate is 1.8%, up from 1.0% compared to the previous year. The mindshare of Microsoft Power Automate is 18.9%, down from 21.6% compared to the previous year. The mindshare of Python RPA is 2.1%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA)
 

Featured Reviews

Anabel Marco - PeerSpot reviewer
Automates processes efficiently with cost-effective scaling and robust customer support
Web scraping is quite good since it offers a lot of possibilities. Another important feature for me is its compatibility with MBI, the Power that is ISEQUADO Centers. I appreciate the ability to scale and increase the number of bots or studios without additional expense. Automate's non-reliance on additional orchestrators makes it quite cost-effective.
Ayobami Shobaloju - PeerSpot reviewer
Automating processes has saved time and improved communication
Something frustrates me concerning Microsoft Power Automate, and that is about the integration with Microsoft Forms and Excel. The issue now is that I don't get my responses synchronized automatically, and that frustrates me a lot. If the team could take this as feedback, the synchronization of the feedback responses from the forms and the Excel sheets should be seamless. This synchronization issue happens frequently, and it causes a lot of delays in the sense that the mails that ought to go out to the agents fail at some point. I have to reload these responses so that the agents can get their responses as when submitted. What I notice is that the responses don't go out without proper synchronization, so I reload the field responses, and this works afterwards. I would say probably a seamless walkthrough process for new users would be beneficial. For those using it for the first time, a seamless walkthrough process would be fine.
Natalia  Raffo - PeerSpot reviewer
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
8%
Educational Organization
5%
Financial Services Firm
15%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
5%
Financial Services Firm
19%
Manufacturing Company
12%
Computer Software Company
8%
Marketing Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about HelpSystems AutoMate?
We use it for specific cases, mainly secure file transfers, which are vital for us. And it works for us.
What is your primary use case for HelpSystems AutoMate?
The main purpose is for automation. That has been the purpose why I have been using it so far.
What is your experience regarding pricing and costs for Fortra Automate?
Regarding pricing, it is very friendly. I would not say that it is really cheap or very expensive, but it fits within...
RPA that Bots can run without centralized control?
Yes, Attended Bots which can run without centralized control Module. RPA Tools like Automation Anywhere, uiPath ,Pow...
How do I choose between UiPath and Microsoft Power Automate?
Microsoft‌ ‌Power‌ ‌Automate‌ ‌is‌ ‌intuitive‌ ‌and‌ ‌easy‌ ‌to‌ ‌integrate‌ ‌and‌ ‌use.‌ ‌I‌ ‌like‌ ‌that‌ ‌there‌ ‌...
How is Automation Anywhere compared to Microsoft Power Automate?
‌Neither‌ ‌solution‌ ‌requires‌ ‌any‌ ‌coding‌ ‌experience,‌ ‌and‌ ‌both‌ ‌are‌ ‌easy‌ ‌to‌ ‌use‌ ‌and‌ ‌have‌ ‌great...
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 ...
 

Also Known As

HelpSystems Automate, Automate
Power Automate, Microsoft Flow, MS Power Automate, WinAutomation by Softomotive, ProcessRobot by Softomotive, Minit
No data available
 

Overview

 

Sample Customers

Aldergrove Financial Group, Preferred Health Professionals, Mindbeam Technologies, First Credit Union in British Columbia, Vestcom International, Prime Liberty Benefits, University of Tampa, CNLBancshares, World Precision Instruments, BJ's Restaurants, Globe Pequot Press, Accudata Technologies, Norton Healthcare, Pacific Toxicology Laboratories
1. Coca-Cola 2. General Electric 3. Siemens 4. Accenture 5. Deloitte 6. Johnson & Johnson 7. Ford 8. Nestle 9. Procter & Gamble 10. IBM 11. Amazon 12. Google 13. Microsoft 14. Adobe 15. Cisco 16. Oracle 17. SAP 18. Intel 19. HP 20. Dell 21. Verizon 22. AT&T 23. T-Mobile 24. Walmart 25. Target 26. Home Depot 27. McDonald's 28. Starbucks 29. Nike 30. Apple 31. Facebook 32. Twitter
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about Microsoft Power Automate vs. Python RPA and other solutions. Updated: June 2025.
860,592 professionals have used our research since 2012.