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Blue Prism 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 boosts efficiency with 30% more productivity, saving 200 hours monthly and reducing costs without needing consultants.
Sentiment score
7.5
Blue Prism users experience varying ROI; some report high savings and efficiency, while others face cost-benefit challenges.
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.
Our improvement has been approximately 30% in productivity since implementing this tool.
We paid back within less than six months, and our cost for Blue Prism hasn't changed for the last 10 years.
 

Customer Service

Sentiment score
7.5
Automated customer support is highly rated for quick responses and expertise, though some find the knowledge base lacking.
Sentiment score
6.3
Blue Prism's customer service receives mixed reviews, with users citing both responsive assistance and frustration with delays and complexity.
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 rate the technical support 10 out of 10 because it provided excellent service during implementation and when we were connecting with different services.
I would rate the technical support as a nine out of ten because it is quite fast and courteous.
If we need to learn something about fixing a problem, improving a solution structure, they have something called knowledge management hours, where we can tap into their expertise to improve our processes or find different ways to build our solutions.
 

Scalability Issues

Sentiment score
7.0
Automate is praised for scalability and cost-effectiveness, yet faces challenges with complexity and operating system support.
Sentiment score
7.2
Blue Prism's scalability is mixed; success varies with architecture, expertise, and factors like costs and infrastructure challenges.
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.
 

Stability Issues

Sentiment score
7.0
Automate version 11 is stable and reliable, with occasional slowdowns reported, scoring 7 to 9 out of 10.
Sentiment score
7.5
Blue Prism is praised for stability and reliability, though infrastructure and processes can affect performance, often rated 7-9/10.
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.
It is very reliable.
 

Room For Improvement

Automate needs improved web automation, UI, security, OCR, stability, documentation, integration, user experience, community support, and cloud functionality.
Blue Prism requires enhancements in AI, machine learning, integration, usability, support, interface, security, and affordability.
Python RPA users face stability issues, complex setup, insufficient documentation, and slow performance with large datasets.
Integration with Amazon S3 is somewhat lacking.
I would prefer not having to log in to update a ticket; being able to respond via email would be beneficial.
I find that most important features are strong, however, there is a lack of good development for artificial intelligence, such as machine learning.
I would like to see the interface of Blue Prism refreshed.
 

Setup Cost

Automate offers flexible and competitive pricing, appealing to budget-conscious buyers with options for unlimited bots and reasonable costs.
Blue Prism's pricing is seen as costly compared to competitors, with annual and licensing fees raising concerns for mid-sized firms.
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.
They don't charge per user or per environment, so you get everything you need included at one fixed cost.
 

Valuable Features

Automate offers a user-friendly interface for easy task automation with efficient features, Azure integration, and cost-effective scalability.
Blue Prism offers robust automation with features like SQL access, multi-bot architecture, API integrations, scalability, and strong security.
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.
Other features I appreciate about Automate include business processing automation, intelligent documentation, and restrictive processes.
The most valuable features of Fortra's Automate include its FTP functionality and file manipulation capabilities.
The ability to scale quickly is also valuable, and their support is good in general.
 

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
Blue Prism
Ranking in Robotic Process Automation (RPA)
4th
Average Rating
7.8
Reviews Sentiment
6.7
Number of Reviews
89
Ranking in other categories
No ranking in other categories
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 Blue Prism is 9.4%, down from 12.3% 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.
WayneFillis - PeerSpot reviewer
Effective automation boosts efficiency but requires improved co-management
There is a need for a co-management product to manage multiple developers using Blue Prism. Features like version control and supporting multiple developers at the same time should be improved. Furthermore, Blue Prism should invest in marketing their other products. I also find it concerning that they require purchasing support calls.
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
7%
Educational Organization
6%
Financial Services Firm
21%
Computer Software Company
11%
Manufacturing Company
9%
Government
5%
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...
Should I choose Blue Prism or Microsoft Power Automate?
Hello Netanya, it depends on your needs and your expertise. In my humble opinion you can start a big RPA project imp...
I am evaluating Blue Prism and UiPath for RPA for my company. Which one do you recommend?
I'm very familiar with UiPath and the RPA industry: was hired by Daniel Dines in 2015 when there were 35 employees an...
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
No data available
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
Coca-Cola, Walgreens, American Express, Royal Bank of Canada, Pfizer, Shop Direct, O2, Siemens, Ascension Healthcare, Jaguar Land Rover
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about Blue Prism vs. Python RPA and other solutions. Updated: June 2025.
856,873 professionals have used our research since 2012.