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

Python RPA vs ServiceNow Automation Engine comparison

Sponsored
 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Automate
Sponsored
Ranking in Robotic Process Automation (RPA)
5th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
26
Ranking in other categories
No ranking in other categories
Python RPA
Ranking in Robotic Process Automation (RPA)
18th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
3
Ranking in other categories
No ranking in other categories
ServiceNow Automation Engine
Ranking in Robotic Process Automation (RPA)
31st
Average Rating
6.0
Reviews Sentiment
7.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Robotic Process Automation (RPA) category, the mindshare of Automate is 1.5%, up from 1.0% compared to the previous year. The mindshare of Python RPA is 1.8%, up from 0.1% compared to the previous year. The mindshare of ServiceNow Automation Engine is 0.9%, up from 0.1% 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.
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.
Robert Gonzales - PeerSpot reviewer
Provides better ecosystem control and duplication control but have duplication issue
The initial setup is complex. During deployment, we identify the assets we want to include and the site, among other details. We ensure everything is translated into a common language using a CML-type discussion, allowing consistency across all elements. We aim to standardize everything by using JSON as our common input format. We are deploying existing features, so most of the work is straightforward. We do need some developers, particularly ServiceNow developers, to be involved. However, there isn't a lot of additional work required. We need some licensing from ServiceNow to enable these feature sets, but there aren't many other requirements.
report
Use our free recommendation engine to learn which Robotic Process Automation (RPA) solutions are best for your needs.
849,210 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
12%
Manufacturing Company
8%
Healthcare Company
6%
Financial Services Firm
16%
Manufacturing Company
13%
Government
8%
Computer Software Company
8%
Financial Services Firm
17%
Construction Company
13%
Computer Software Company
11%
University
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
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...
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 ...
What is your experience regarding pricing and costs for ServiceNow Automation Engine?
The solution is expensive. The primary expense lies in licensing from ServiceNow. Additionally, there are costs assoc...
What needs improvement with ServiceNow Automation Engine?
The whole automation process still has a problem with duplication. They identify an asset, relate it to its physical ...
What is your primary use case for ServiceNow Automation Engine?
The primary use of ServiceNow Automation Engine is to enable CMDR to identify all the different feeds and systems, al...
 

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
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
1. Accenture2. Aetna3. AIG4. Airbus5. Allstate6. American Express7. AT&T8. Bank of America9. Barclays10. BHP Billiton11. Cisco12. Coca-Cola13. Comcast14. Dell15. E*TRADE16. FedEx17. Ford Motor Company18. GE19. Google20. H&R Block21. Home Depot22. IBM23. Intel24. JPMorgan Chase25. Kroger26. Liberty Mutual27. Lockheed Martin28. Marriott International29. Mastercard30. McKinsey & Company31. Microsoft32. Morgan Stanley33. Nike34. Nordstrom35. Oracle36. PepsiCo37. PwC38. Rakuten39. SAP40. Siemens41. SoFi42. Spotify43. Starbucks44. TD Ameritrade45. Toyota46. UnitedHealth Group47. Visa48. Walmart49. Wells Fargo
Find out what your peers are saying about UiPath, Automation Anywhere, Microsoft and others in Robotic Process Automation (RPA). Updated: April 2025.
849,210 professionals have used our research since 2012.