No more typing reviews! Try our Samantha, our new voice AI agent.

Datamatics TruBot 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:
 

Categories and Ranking

Automation Anywhere
Sponsored
Ranking in Robotic Process Automation (RPA)
2nd
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
660
Ranking in other categories
Business Process Management (BPM) (2nd), Process Mining (1st), Intelligent Document Processing (IDP) (1st), Agentic Automation (1st), Business Orchestration and Automation Technologies (2nd), AI Legal & Compliance (1st), AI Finance & Accounting (1st), AI Procurement & Supply Chain (1st)
Datamatics TruBot
Ranking in Robotic Process Automation (RPA)
37th
Average Rating
8.4
Reviews Sentiment
7.8
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Python RPA
Ranking in Robotic Process Automation (RPA)
15th
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 2026, in the Robotic Process Automation (RPA) category, the mindshare of Automation Anywhere is 5.4%, down from 9.4% compared to the previous year. The mindshare of Datamatics TruBot is 1.0%, up from 0.3% compared to the previous year. The mindshare of Python RPA is 0.9%, down from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA) Mindshare Distribution
ProductMindshare (%)
Automation Anywhere5.4%
Python RPA0.9%
Datamatics TruBot1.0%
Other92.7%
Robotic Process Automation (RPA)
 

Featured Reviews

Venkat Sivaprakash - PeerSpot reviewer
Management Consultant at Accenture
Has significantly improved document-driven workflows and reduced processing time across finance and HR functions
Automation Anywhere has evolved significantly and upgraded itself to provide agentic AI and AI-based automation solutions for document automation. The product has matured considerably over time. We can create workflows that can call an API. We can include prompts in particular workflows for ChatGPT-related functions, connecting to an LLM and RAG to perform tasks. For document automation, modern features are available to train documents, ensuring high accuracy and repeatability over time. The system is very easy to use. I recently completed a course in document automation, typically designed for people involved in coding and technical aspects. Though I understand coding comprehensively, I don't do actual coding. The course was very accessible. Currently, extensive coding isn't necessary due to the hybrid model incorporating GenAI aspects, low-code, no-code capabilities, APIs, and numerous pre-built objects in Automation Anywhere. The features include GenAI-driven prompting methods and workflow creation capabilities. In these workflows, we can create decision boxes and call APIs without coding. We simply pull objects, drop them, connect them, and add minimal coding when needed. The most crucial aspect isn't coding but rather sizing the automation and fleshing out the details. Automation Co-pilot takes notes and performs automated analysis. It can extract details from videos, summarize conversations, and provide detailed information. During calls, it identifies instructions and performs tasks such as preparing reports and reconciliation. Automation Anywhere can also connect with Microsoft Co-pilot. Through Co-pilot, real-time operations can be executed, allowing direct interaction between vendors and automation through this component.
IS
Business Head at MCS india
Offers good UI but needs to improve its integration capabilities
Speaking about how the tool is useful in automating repetitive tasks in our company, I would say that my company started to collect data with the help of Datamatics while also using its GPS tracking features. The tool's UI is much better than the ones offered by other similar products in the market. I recommend the product to others who plan to use it. I suggest that others use their own method of interrogation since it will help them achieve more growth in their organizations through the use of the tool. I rate the tool a seven and a half out of ten.
Natalia  Raffo - PeerSpot reviewer
Co - Founder & Chief Data Officer -CDO at Data360
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.

Quotes from Members

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

Pros

"As we were closing our fiscal year, we had this huge backlog that we needed to clean up. The business was preparing to hire 12 people to do that, and even though they were not sure they could handle it, we built the process to extract and do the entire process just in two weeks. We were able with a single person to clean the entire backlog, which gave us huge benefits."
"There are instances where use cases and opportunities have arisen as a result of having Automation Anywhere and RPA in place that have come about through very casual conversations and have actually resulted in increased revenue opportunities that we didn't realize."
"Automation Anywhere overall is a great tool for automation, as it provides a lot of flexibility to work with different other applications."
"It is highly accurate and gets up and running in a very short period of time."
"We have some bots which are saving a week or month of multiple employees' times."
"The Excel operations are very good."
"When this technology first came to market, I thought it was about robotic things, which we cannot do, however, when I started to learn about Automation Anywhere, it's completely different; it's a user friendly tool with drag and drop commands and a person just needs technical, logical thinking."
"It has helped us to save a lot of FTEs for our solutions that we have provided to our companies. Suppose a job which was done by a group of eight to nine people on a daily basis for 24 hours was taking a lot of time, so we created a bot with Automation Anywhere. It was done with a bot working 24/7. It reduced the numbers of guys required to do that process."
"The solution is very stable and we have not had any issues."
"The solution is inexpensive compared to many other solutions in the market."
"Ability to calculate the ROI on the jobs that are running."
"The product's initial setup phase is straightforward and easy to use."
"We believe that the value and the cost of the Datamatics TruBot really fits financial institutions' budgets much better than what we'd call the big three, the Automation Anywhere, Blue Prism, UiPath."
"Keyword-driven automation has been beneficial in streamlining operations."
"It's possible to use the solution with other tools. It's very agile."
"Instead of writing multiple lines of code, we can do it in a single statement."
 

Cons

"The main request I have for Automation Anywhere is to focus more on technical demonstrations."
"A2019 should have more improvement for developers, as it was in v11.x."
"One of the things that the product should have is to add more advanced level developer capabilities into the platform. I know it is easy for business, non-technical people. However, for the developers, there should be some more features within the product so they can build advanced level use cases much faster."
"Some things that I do not see as of today are interactive chat or video interface."
"It could be improved in terms of the global analysis of all the issues caused by the dependency components. For example, if bots are running on virtual machines on Microsoft Windows 2019, sometimes an issue might come from the virtual machine. Automation Anywhere should work closely with Microsoft or any other editor with which there are some issues occurring and stopping the bots from running properly."
"A2019 is less stable than the previous versions."
"AA has many features but the issue is with the loss of overhead on computing resources."
"I hope that Automation Anywhere can further optimize its bots to help automate tasks with Microsoft Word documents and Microsoft PowerPoint documents because, in most organizations, there is a lot of reporting required."
"The stability of the product has certain shortcomings, making it an area where improvements are required."
"There is a learning curve, and some training could be included to bring users up to speed."
"Would like to see more additions to the library."
"I'd like to see more additions to the library, which I believe currently has 200 plus items."
"Support could be improved."
"When we call an API and there is an error, it doesn't tell you what the error is."
"It can be expensive to deploy a lot of models in the cloud, especially if there are large amounts of data."
 

Pricing and Cost Advice

"It's an ideal pricing model to customize the components based on everyone's needs."
"The initial setup and licensing fees are high, and although it saves costs in the long run, reaching the break-even point can take at least six months."
"We have established a CoE and we take our bot opportunities based on their ROIs. The best ROI opportunity goes to development first. Our ROI opportunities are compliance, profitable growth, productivity enhancements, productivity gains, number of hours the productivity saved, and resources not available that the work can be done by the bot. However, the single most important criteria that we use to measure ROI is how much time does the bot cut down from an analyst's work, as this has the best ROI. E.g., if an analyst is spending a 100 hours of work that a bot can do in one hour, we calculate the 99 hours saved as ROI."
"Our advice is that anybody interested in this product should negotiate product bundles in order to reduce the cost of installation and setup."
"We have seen about a 10 percent monetary savings."
"With the rebate processing automation that we did, it has provided us a savings of around an hour or two a person on a daily basis, which is quite a lot of savings."
"We have a three-year contract with Automation Anywhere."
"Roughly, as of today, it is around $250,000 annually."
"The tool is expensive."
"I am using an open-source solution."
"The tool is not expensive."
report
Use our free recommendation engine to learn which Robotic Process Automation (RPA) solutions are best for your needs.
909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
11%
Construction Company
11%
Outsourcing Company
10%
No data available
Financial Services Firm
14%
Manufacturing Company
11%
Construction Company
9%
Marketing Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business157
Midsize Enterprise82
Large Enterprise558
No data available
No data available
 

Questions from the Community

How good is Automation Anywhere for RPA processes?
It depends on your use case. Is it simply to automate a couple of processes? Is it to augment a human team? AA is ver...
How good is Automation Anywhere for RPA processes?
From my experience using AA tool, it depends on the applications that you want to automate, because there some applic...
How good is Automation Anywhere for RPA processes?
It is a highly preferred RPA tool. You can check my Automation Anywhere Review to know more.
Ask a question
Earn 20 points
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 primary use case for Python RPA?
In our team, we construct different statistical models to resolve things for clients. We do modelling and segmentatio...
What advice do you have for others considering Python RPA?
We're just a customer. It's a good tool. It's easy. I can use it in many different ways and for many different use ca...
 

Also Known As

Automation Anywhere, Testing Anywhere, Automation Anywhere Enterprise, Agentic Process Automation System (Now Certified for WorkSpaces)
TruBot
No data available
 

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

Google, Linkedin, Cisco, Juniper Networks, DellEMC, Comcast, Mastercard, Quest Diagnostics
Aditya Birla Sunlife Insurance Company, IndusInd Bank
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about Datamatics TruBot vs. Python RPA and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.