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Pega Robotic Process Automation 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
6.3
Pega Robotic Process Automation improves efficiency and profitability by reducing costs, errors, and cycle times while boosting transaction efficiency.
Sentiment score
8.2
Python RPA boosts efficiency, reduces errors, saves costs, and enhances productivity, enabling employees to focus on higher-value tasks.
It has reduced our expenditures in terms of purchasing more products and employing more technicians.
Fortra's Automate has effectively replaced the workload of an entire employee, saving us significant time and money.
I've seen a good return on investment with Automate, as it streamlines processes and improves my productivity.
 

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
6.0
Pega RPA support is generally effective and timely, though complex issues can require more time and clarity.
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.
On-premise support is generally not as effective as the cloud support that Pega currently provides.
 

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
Pega RPA's scalability varies by environment and user knowledge, with cloud deployment easier than on-premise setups.
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 is generally stable and reliable, though performance varies with task intensity and some users report occasional issues.
Sentiment score
7.6
Pega RPA is stable, reliable, and highly rated, praised for seamless performance and flexible automation capabilities.
Sentiment score
8.3
Python RPA is praised for its stability, reliability, and robustness in handling complex workflows with minimal glitches or errors.
The stability of Fortra's Automate is excellent.
It has very robust features, and it is not prone to instability.
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.
Pega Robotic Process Automation requires enhanced integration, OCR, UI improvements, streamlined deployment, and better global cloud support.
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.
 

Setup Cost

Automate offers cost-effective RPA solutions with flexible pricing, appealing to enterprises compared to competitors like UiPath and Blue Prism.
Pega's RPA pricing targets enterprises with integrated, costly packages, offering flexible models and competitive integration advantages.
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.
I would not say that it is really cheap or very expensive, but it fits within our budget.
It does a lot but also costs a lot.
 

Valuable Features

Automate's intuitive interface and features boost efficiency and productivity, with cost-effective licensing and minimal technical expertise needed.
Pega RPA excels in case management, offering low-code development, CRM integration, and centralized monitoring for efficient automation and scalability.
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.
Automate increases efficiency and eliminates errors during documentation and invoicing processes.
I'm able to arrange my files for reading, editing, scanning PDFs and images, and extracting data.
 

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
Pega Robotic Process Automa...
Ranking in Robotic Process Automation (RPA)
19th
Average Rating
7.4
Reviews Sentiment
6.6
Number of Reviews
24
Ranking in other categories
No ranking in other categories
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 August 2025, in the Robotic Process Automation (RPA) category, the mindshare of Automate is 1.9%, up from 1.0% compared to the previous year. The mindshare of Pega Robotic Process Automation is 3.3%, up from 2.6% 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.
reviewer4848291 - PeerSpot reviewer
Pega Robotic Process Automation (RPA) automates repetitive, rule-based tasks across systems without human intervention. Struggling with flexibility but integrates easily for small-scale automation tas
1. Enhanced Cross-Platform Support Currently optimized for Windows-based applications. Needs better support for web, cloud-native, and non-Windows environments (e.g., Linux, macOS). 2. Simplified Development Experience Pega Robot Studio has a steep learning curve, especially for non-developers. Could benefit from a more intuitive, drag-and-drop interface and prebuilt automation templates. 3. Stronger AI/ML Integration Bots rely heavily on rule-based logic. Native integration with AI/ML models (e.g., for document understanding, sentiment analysis) could make bots smarter and more adaptive. 4. Improved Debugging & Testing Tools Debugging complex automations can be time-consuming. Needs better simulation, logging, and error tracing tools for faster troubleshooting. 5. More Scalable Bot Orchestration While Pega Robot Manager is powerful, managing large bot fleets can become complex. Could improve auto-scaling, load balancing, and dynamic resource allocation. 6. Broader Integration Ecosystem Limited out-of-the-box connectors compared to competitors like UiPath. Expanding the integration library (e.g., for SaaS apps, APIs, databases) would reduce custom development. 7. Licensing Flexibility Licensing can be cost-prohibitive for smaller teams or departments. More modular or usage-based pricing could improve adoption.
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
12%
Computer Software Company
10%
Manufacturing Company
9%
Performing Arts
6%
Financial Services Firm
27%
Computer Software Company
15%
Manufacturing Company
9%
Government
5%
Financial Services Firm
19%
Manufacturing Company
12%
Computer Software Company
7%
Government
6%
 

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...
What do you like most about Pega Robotic Process Automation?
The solution's automation handling capability has positively impacted the overall automation process in my experience.
What is your experience regarding pricing and costs for Pega Robotic Process Automation?
I would rate the pricing a six out of ten, with ten being expensive.
What needs improvement with Pega Robotic Process Automation?
The solution's configuration and settings could be more comprehensive.
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
Pega RPA, OpenSpan
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
eBay Enterprise, M&I Bank
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about Pega Robotic Process Automation vs. Python RPA and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.