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Jiffy.ai Automate vs Nintex 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 and reduces costs with easy deployment, allowing quick returns without extra IT staff.
Sentiment score
7.1
Jiffy.ai Automate boosts efficiency by automating tasks, reducing errors, and saving staff efforts, driving significant ROI.
Sentiment score
7.3
Users report cost savings, reduced errors, and improved efficiency with Nintex RPA, achieving savings up to $300,000.
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.
 

Customer Service

Sentiment score
7.4
Automate's customer service is praised for prompt, effective support, despite occasional language barriers and a challenging knowledge base.
Sentiment score
6.9
Jiffy.ai Automate excels in responsive customer service and support, despite limited staff, ensuring satisfaction with complex integrations.
Sentiment score
7.4
Nintex RPA users praise responsive technical support and proactive service, though some experience delays and desire direct phone support.
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.
 

Scalability Issues

Sentiment score
7.2
Automate is scalable, enabling easy expansion with flexibility and load balancing, though some concerns about complexity and cost exist.
Sentiment score
7.5
Jiffy.ai Automate is scalable and effective across departments, managing large transactions and adapting processes with minimal changes.
Sentiment score
6.9
Nintex RPA is scalable and flexible, enabling easy expansion and deployment, though data analysis at scale presents challenges.
It is easy to increase one bot or one studio without needing to buy another orchestrator, which can be quite expensive.
Automate is stable for my needs and is highly scalable, allowing the same workflow to serve numerous tasks effectively.
 

Stability Issues

Sentiment score
6.9
Automate v.11 is mostly stable and reliable, but resource-intensive, with occasional errors and crashes depending on task type.
Sentiment score
6.4
Jiffy.ai Automate is stable across systems, cost-effective, but faces network issues; users rate stability seven out of ten.
Sentiment score
7.1
Users rate Nintex RPA stable at 8/10, noting minor issues from updates, system changes, or configuration 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

Intelligent automation faces issues with usability, integration, and support, needing improvements in user interface, customization, and community engagement.
Jiffy.ai Automate struggles with complexity, limited customization, and inadequate support, posing challenges for non-IT users.
Nintex RPA requires better object recognition, OCR, integration, AI updates, and improvements in training, compatibility, and debugging tools.
This is a significant concern, especially with critical workloads where visibility into errors is essential.
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.
 

Setup Cost

Automate offers flexible and cost-effective pricing, allowing multiple processes per bot, making it competitive against UiPath and Blue Prism.
Jiffy.ai Automate offers cost-effective enterprise licensing with potential support costs, yet its features provide valuable for the price.
Nintex RPA offers moderate pricing, ranging from $5,000 to $100,000, with separate charges for infrastructure and optional features.
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.
 

Valuable Features

Automate offers user-friendly automation with seamless integration, intuitive features, and cost-effective scalability, enhancing productivity and efficiency.
Jiffy.ai Automate features a user-friendly interface, advanced integration, computer vision, and supports no-code to low-code automation.
Nintex RPA offers intuitive workflows, cross-platform integration, task mining, scalability, and competitive pricing, enhancing document handling efficiency.
Automate's non-reliance on additional orchestrators makes it quite cost-effective.
In my opinion, the best feature Automate offers is the scheduling.
I find the ease of use from a programming perspective very valuable.
 

Categories and Ranking

Automate
Sponsored
Ranking in Robotic Process Automation (RPA)
5th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
29
Ranking in other categories
No ranking in other categories
Jiffy.ai Automate
Ranking in Robotic Process Automation (RPA)
34th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Nintex RPA
Ranking in Robotic Process Automation (RPA)
12th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
30
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2025, in the Robotic Process Automation (RPA) category, the mindshare of Automate is 2.0%, up from 1.0% compared to the previous year. The mindshare of Jiffy.ai Automate is 0.6%, up from 0.3% compared to the previous year. The mindshare of Nintex RPA is 2.1%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA) Market Share Distribution
ProductMarket Share (%)
Automate2.0%
Nintex RPA2.1%
Jiffy.ai Automate0.6%
Other95.3%
Robotic Process Automation (RPA)
 

Featured Reviews

Ibukun Shweta - PeerSpot reviewer
Automation optimizes scheduling, but improvements needed in error reporting and script execution
In my particular use case, for session management, it would be better if I could get a more granular view into connectivity issues to servers. Sometimes, although your flows or tasks are running as scheduled, connecting to the servers can hit a snag without alerts or error logs to check. Some servers might need patching or could be affected by network issues or latency. The workflow sometimes gets stuck without clarity on the errors. An explicit error report would be helpful, especially when the connection fails unexpectedly. It's complex to analyze problems that might arise from firewall issues or other anomalies that could hinder the flow from executing as expected. The depth of these connection challenges would benefit from better debugging capabilities. As for improvements, if Automate wasn't designed primarily for script execution, that's understandable. However, for Linux, I would prefer to see less complexity in workflows to achieve a natural completion of scripts. There are features, such as 'wait for terminal output,' that should more intuitively detect completion based on the shell prompt. Improving those aspects would make Automate more efficient for my needs. Regarding error reporting, I think Automate should offer better error reporting when connecting to servers. Currently, there are many instances where I see empty logs, indicating that, while tasks are scheduled, commands are not executing successfully. This is a significant concern, especially with critical workloads where visibility into errors is essential.
HA
You don't have to code; it is just drag and drop
They are still new in the market. Or, at least, they are still a small player. They require a lot of improvement in terms of learning material as well as the community developers. If you compare Jiffy.ai to an established solution, like UiPath, you can go to YouTube and find a lot of learning material posted by UiPath, partners, and other people in the community. However, for Jiffy.ai, you won't find that available in the market. Because of this it is very hard for us to find talent in the market. Most of the developers in the market are used to the bigger players. For Jiffy.ai, if you search a resume because you are trying to find someone who has used Jiffy.ai, you won't be able to find it. So, when we onboard a new person, we want them to learn this new system, but it is a bit hard for them to pick up because there are no external learning materials on the Internet. For training, they provide the foundation and advanced training. If you have other issues, they have a support portal, which shows a brief summary of the features. It's not very extensive, like Google Cloud Platform. Sometimes there are things that may not be available in the portal. While other products will also not have available the information in their portal, other people know it. So, you don't have in the community discussions about solutions to a problem that would not be available in the portal.
JonathanNg - PeerSpot reviewer
Helped us identify areas where frontline staff aren't following standard procedures or using unexpected systems, giving us better insight into our end users' workflows
To analyze and make sense of the data generated by Kryon process discovery can be a lot of effort. It's not as automatic as some might think. It really depends on how many processes you have and how actively you use them. But the scalability aspect isn't necessarily about deployment or technical maintenance. It's really about how you analyze and gain insights from the data gathering. I'd rate the scalability a seven out of ten because the solution has been scaling well for a long time. It's very easy to deploy. But getting value out of it at scale can be a challenge, just like with any deployment. We use it mainly for process discovery. We actually proceed it from different teams. So, we have 15 licenses that we rotate with different people, actually through different teams. So, we do discovery for the online team; we gather the results after about two weeks to a month. We analyze those results, and then we deploy them again on the analytics team. We regularly deploy it to different teams. So, it's in constant use. It just runs on the systems through discovery mode most of the time.
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Computer Software Company
10%
Manufacturing Company
9%
Performing Arts
6%
No data available
Computer Software Company
17%
Financial Services Firm
14%
Manufacturing Company
7%
Educational Organization
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise7
Large Enterprise4
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise5
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise7
Large Enterprise18
 

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...
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Also Known As

HelpSystems Automate, Automate
No data available
Kryon RPA
 

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
Southwest Airlines
Amazon, Audi, Chevron, Toyota, Uber, Walmart
Find out what your peers are saying about Jiffy.ai Automate vs. Nintex RPA and other solutions. Updated: July 2025.
867,349 professionals have used our research since 2012.