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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 saves time and resources, achieving ROI quickly by reducing manual tasks and IT staff needs through automation.
Sentiment score
7.8
Microsoft Power Automate offers efficient, cost-effective integration under o365, delivering higher returns than competitors through automation and strategic licensing.
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.
It has helped us save time, and we've saved thousands of hours through automation.
 

Customer Service

Sentiment score
7.5
Automate customer service is praised for responsive, effective support despite occasional communication issues, with knowledgeable and helpful staff.
Sentiment score
6.3
Microsoft Power Automate customer service varies by region and level, with generally prompt support and valuable online resources.
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 have contacted the technical support of Microsoft regarding some issues, and their support is good.
 

Scalability Issues

Sentiment score
7.0
Automate offers scalable, cost-effective deployment with support for load balancing and high availability, although scaling complexity exists.
Sentiment score
6.9
Microsoft Power Automate offers scalable solutions, though licensing and external complexities may affect scalability in larger enterprises.
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 praised for stability and performance, despite occasional errors, connectivity issues, and recommendations for server improvements.
Sentiment score
7.6
Microsoft Power Automate is stable and reliable, but some users experience issues with updates and complex workflows.
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.
 

Room For Improvement

Users seek improvements in web automation, UI, security, OCR, integration, documentation, stability, AI, cloud functionality, and community access.
Microsoft Power Automate struggles with high costs, limited integration, complex workflows, and needs improvements in AI, RPA, 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.
 

Setup Cost

Automate offers a cost-effective, scalable pricing model with lower costs per bot, unlike UiPath and Blue Prism.
Microsoft Power Automate is cost-effective with flexible pricing, but premium services can increase overall costs for organizations.
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 offers easy task development and integration with AI resources, efficiently handling tasks with strong support for secure transfers.
Microsoft Power Automate streamlines automation with low-code tools, Office 365 integration, extensive connectors, and strong community support.
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.
It helps show the optimal way to utilize a process by discovering, validating, and improving the process automation.
 

Categories and Ranking

Automate
Sponsored
Ranking in Robotic Process Automation (RPA)
5th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
27
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
128
Ranking in other categories
Process Mining (4th)
Python RPA
Ranking in Robotic Process Automation (RPA)
16th
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 June 2025, in the Robotic Process Automation (RPA) category, the mindshare of Automate is 1.7%, up from 1.0% compared to the previous year. The mindshare of Microsoft Power Automate is 20.0%, down from 21.6% compared to the previous year. The mindshare of Python RPA is 2.1%, up from 0.2% 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.
MohammedIdais - PeerSpot reviewer
Facilitate informed decision-making through data analytics and efficient process automation
The most valuable feature for me is the process mining capability. It helps show the optimal way to utilize a process by discovering, validating, and improving the process automation. For example, when building a process from start to end, I may not be sure if it is efficient or optimized. This feature provides validation and improvement of the process using process mining. Additionally, it has amazing integration capabilities with multiple systems, directly working with the database.
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
14%
Computer Software Company
12%
Manufacturing Company
8%
Healthcare Company
6%
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
9%
Insurance Company
6%
Financial Services Firm
19%
Manufacturing Company
13%
Computer Software Company
8%
Government
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?
I am a consultant and I am making a lot of processes in human resources, payroll, certifications, trainings, web scra...
What is your experience regarding pricing and costs for Fortra Automate?
The pricing is quite good compared to its competitors. Competitors are often more expensive than Automate. I would ra...
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: April 2025.
856,874 professionals have used our research since 2012.