Try our new research platform with insights from 80,000+ expert users

NICE Robotic Automation vs Python RPA comparison

Sponsored
 

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
8.0
Organizations saw improved customer experience and efficiency, achieving significant ROI and savings, supported by NICE Robotic Automation.
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
7.2
NICE Robotic Automation offers efficient customer support, resolving most issues swiftly, despite occasional scheduling challenges for assistance.
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.
 

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
6.1
Opinions on scalability vary, with adaptability praised but concerns about licensing costs and infrastructure constraints noted.
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
6.0
NICE Robotic Automation is stable and robust, but some users report initial stability issues and recommend cautious implementation.
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.
NICE Robotic Automation needs a user-friendly web-based interface, improved connectivity, low-code alignment, and comprehensive licensing options.
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.
NICE Robotic Automation offers competitive perpetual licenses, eliminating yearly renewals, requiring Windows and Linux knowledge for configuration.
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.
NICE Robotic Automation excels in customizable desktop automation, reusable features, API connectivity, and secure data handling across platforms.
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
NICE Robotic Automation
Ranking in Robotic Process Automation (RPA)
32nd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
7
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 NICE Robotic Automation is 0.6%, up from 0.6% 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.
Harish G V - PeerSpot reviewer
Quicker compared to other bots but not very user-friendly
There is a need for NICE to be more user-friendly. It should be designed in such a way that any developer can easily develop bots. For instance, Power Automate provides a good example of a user-friendly design that NICE can learn from. Moreover, in terms of documentation, there is very little available for NICE, making it challenging to implement the bots. So, documentation should be improved as well. There are a lot of additional features that could be included in NICE. As the NICE Robotic Automation claims, it is a low-code solution, but that is not entirely true. They need to concentrate on the prerequisites and building blocks. There should be more options available internally that are easy to use and well-developed.
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.
report
Use our free recommendation engine to learn which Robotic Process Automation (RPA) solutions are best for your needs.
859,129 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
9%
Educational Organization
5%
Computer Software Company
24%
Financial Services Firm
20%
Manufacturing Company
8%
Real Estate/Law Firm
7%
Financial Services Firm
19%
Manufacturing Company
12%
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...
Ask a question
Earn 20 points
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
HelpLine, Telefonica Spain, Banca Popolare Di Sondrio
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about NICE Robotic Automation vs. Python RPA and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.