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Automation Anywhere AI Agent vs Cloudera Data Platform comparison

 

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

Automation Anywhere AI Agent
Ranking in AI Data Analysis
200th
Average Rating
6.8
Number of Reviews
4
Ranking in other categories
AI Customer Support (78th), AI Sales & Marketing (17th), AI Content Creation (9th), AI Finance & Accounting (12th)
Cloudera Data Platform
Ranking in AI Data Analysis
12th
Average Rating
7.6
Reviews Sentiment
5.5
Number of Reviews
37
Ranking in other categories
Cloud Master Data Management (MDM) (8th), Data Management Platforms (DMP) (4th)
 

Featured Reviews

KS
Account Director at a tech vendor with 10,001+ employees
Automation has transformed invoice and bank processing but still needs faster setup and better integration
Automation Anywhere AI Agent could be improved in a few ways. Since I am currently working with Salesforce and I understand that to compete Automation Anywhere as a middleware product with Mulesoft or Informatica, the implementation phase needs to be quicker. The POC is always successful, but the implementation phase has to be quicker. The business needs to understand this better. Automation Anywhere should get into the business team and focus on explainability at the business level, not just a technical thing, but in the language or discussion where the business team can understand. There is clear business reasoning missing right now. The learning is strong within the process for sure, but there is limited reuse of learning across processes, which I think is very important. Simple model governance for business users is needed so that anyone should be able to use or create bots on Automation Anywhere. Right now, consultants and partners are needed in place. Additionally, Automation Anywhere should have native integrations with core platforms such as Oracle, SAPs, Salesforce, and ServiceNow. It should have out of the box integration rather than going for APIs because the deals which are not getting closed with Automation Anywhere or UIPath are purely because these organizations do not have out-of-the-box connectors available.
T Sarwar - PeerSpot reviewer
Data architect at SentientAI, Karachi
Has enabled efficient big data processing and querying but remains complex to manage and configure
Cloudera Data Platform should use fewer tools and remove the complexity between them. It should make it easier for the end user to change the configuration and understand it better. The UI tool for jobs in Cloudera Data Platform can be improved to provide a proper image of ETL jobs and detailed consolidated graphs to monitor Spark-based Hue jobs.
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
10%
Performing Arts
10%
Financial Services Firm
9%
Transportation Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise7
Large Enterprise26
 

Questions from the Community

What needs improvement with Automation Anywhere AI Agent?
When considering weaknesses and improvements, the platform does not give us the liberty to use our own features where we can bring out creativity. We have to map the process to whatever is availabl...
What is your primary use case for Automation Anywhere AI Agent?
The primary use cases predominantly involve banking, including check validation, fraud management, and anti-money laundering. We extract these from the core banking system and pull them into the ag...
What advice do you have for others considering Automation Anywhere AI Agent?
I do not use the Process Analytics feature. I would describe the role of Cognitive Automation skills in managing complex tasks as very good. However, we are not using it now. They are moving more t...
What is your experience regarding pricing and costs for Hortonworks Data Platform?
The experience with pricing, setup cost, and licensing is very good.
What needs improvement with Hortonworks Data Platform?
Areas for improvement with Cloudera Data Platform could be the initial learning curve that can be a step for teams new to big data economy systems. Platform setup and configuration require careful ...
What is your primary use case for Hortonworks Data Platform?
Cloudera Data Platform on AWS was adopted as the core enterprise data platform, covering the full data lifecycle from ingestion to analytics and advanced use cases. Cloudera Data Platform was used ...
 

Overview

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Find out what your peers are saying about Automation Anywhere AI Agent vs. Cloudera Data Platform and other solutions. Updated: January 2026.
881,114 professionals have used our research since 2012.