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Cloudera Data Platform vs Panther 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

Cloudera Data Platform
Ranking in AI Data Analysis
6th
Average Rating
7.6
Reviews Sentiment
5.5
Number of Reviews
37
Ranking in other categories
Cloud Master Data Management (MDM) (6th), Data Management Platforms (DMP) (4th)
Panther
Ranking in AI Data Analysis
30th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
3
Ranking in other categories
Security Information and Event Management (SIEM) (39th)
 

Mindshare comparison

As of June 2026, in the AI Data Analysis category, the mindshare of Cloudera Data Platform is 0.6%, down from 0.9% compared to the previous year. The mindshare of Panther is 0.4%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Cloudera Data Platform0.6%
Panther0.4%
Other99.0%
AI Data Analysis
 

Featured Reviews

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.
Narendran Nair - PeerSpot reviewer
Product Security Engineer at Infoblox
AI triage has streamlined real-time alert monitoring and has improved on-call incident response
The best features Panther offers are AI Triage, the ability to comment on our activities, and seamless integration with other communication sources such as PagerDuty, Microsoft Teams, and potentially Slack, showcasing the flexibility we have in using this tool. The most valuable feature for my team is definitely AI Triage, which helps save a lot of time by eliminating the need for manual research regarding patterns that may be repeated, making our work easier and more efficient. Panther has positively impacted my organization as it serves as one of the main sources for triaging real-time incidents. Panther definitely plays a key role in the work that we do. Specific outcomes that show how Panther has helped our organization include saving a lot of time, especially since the AI Triage feature reduces the necessity to reach out to others for clarity, which it occasionally accomplishes on its own. To be honest, it does lack some aspects. For example, if it could access our organizational knowledge, including the Jira database, it might better analyze incidents and determine whether they are false positives or not by using more contextual data.

Quotes from Members

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

Pros

"Cloudera Data Platform has impacted my organization positively in many ways, especially for banking customers, by providing a robust capability to handle structured and unstructured data via features like PDF extraction and speech-to-text conversion for analytics."
"Cloudera Data Platform has positively impacted our organization by reducing overall manual intervention, requiring fewer efforts and resources to build a big data cluster compared to traditional methods."
"Distributed computing, secure containerization, and governance capabilities are the most valuable features."
"In my experience, the best features Cloudera Data Platform offers are that all the services provided are excellent."
"It's the one and only complete open source big data platform Ambari-managed admin configuration for HDFS, YARN, Hive, HBase, etc."
"Ease of deployment and management of the Hadoop cluster are features we've found most valuable."
"The best features Cloudera Data Platform offers are the processing power with Spark and the distributed data storage, HDFS, which helps us handle massive volumes of data."
"We use it for data science activities."
"I find Panther's detection capabilities and integrations to be highly valuable."
"The AI Triage feature saves a considerable amount of time, and if it were to incorporate organizational knowledge, it could provide finer-tuned results."
"We have seen a return on investment measured primarily through SOC efficiency and productivity improvements, with teams observing a twenty to thirty-five percent improvement in investigation efficiency depending on the environment and product maturity."
 

Cons

"Almost every part of the Hadoop ecosystem has its problems and bugs."
"Customer Service: It's fairly low customer service. Technical Support: It's fairly low technical support."
"Hadoop, does not provide improved performance, compared to traditional RDBMS, unless processing batches in the TB-PB range, or if the Hadoop platform has significantly more resources available."
"Hortonworks is at end of life; they are not adding new things to this, so everything will be Cloudera now."
"Cloudera Data Platform could improve by innovating more in terms of full-fledged support for AI workloads, enriching machine learning or LLM, as there haven't been updates in that aspect over the last one and a half years."
"Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases (Oracle/Teradata, etc.), which would save a lot of money for the company."
"Security- Although they support Knox and Ranger and Kerberos, they are still missing attribute-level encryption features."
"I have not seen enough innovation in Cloudera Data Platform, particularly in support for machine learning."
"Regarding Panther's accuracy and reliability of output, I would rate it at 70 percent since, at times, it identifies findings as valid when they may actually be false positives, which we have experienced in a few cases."
"The solution could be improved by providing more built-in integrations, which would reduce the need for me to build them myself."
 

Pricing and Cost Advice

"Currently, we are using the product in a sandbox environment, and there is no licensing. We might choose a licensing option once we get the results."
"It is priced well and it is affordable"
Information not available
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Top Industries

By visitors reading reviews
Manufacturing Company
12%
Financial Services Firm
10%
Construction Company
10%
Marketing Services Firm
8%
Construction Company
13%
Manufacturing Company
13%
Financial Services Firm
8%
Comms Service Provider
7%
 

Company Size

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

Questions from the Community

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 ...
What is your experience regarding pricing and costs for Panther?
I find the pricing to be reasonable, although I can't recall the exact cost.
What needs improvement with Panther?
The solution could be improved by providing more built-in integrations, which would reduce the need for me to build them myself.
What is your primary use case for Panther?
We use Panther ( /products/panther-reviews ) for our SIEM ( /categories/security-information-and-event-management-siem ) solution. It is used for aggregating logs and analyzing user activities. We ...
 

Overview

 

Sample Customers

Information Not Available
Docker, Loom, Discord, Dropbox, HubSpot, Asana, GoFundMe, Zapier, Benchling, JupiterOne, Jumio, Bitstamp, Intercom, Randori, and Cedar
Find out what your peers are saying about Informatica, Denodo, Cisco and others in AI Data Analysis. Updated: May 2026.
896,942 professionals have used our research since 2012.