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

Cohesity Data Cloud 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

Cohesity Data Cloud
Ranking in AI Data Analysis
14th
Average Rating
9.0
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Backup and Recovery (19th), Cloud Backup (15th), Data Management Platforms (DMP) (7th)
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 Cohesity Data Cloud is 0.5%, up from 0.5% 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 (%)
Cohesity Data Cloud0.5%
Panther0.4%
Other99.1%
AI Data Analysis
 

Featured Reviews

ME
Senior Manager Advisory Services at Optimum Online (Cablevision Systems)
Has provided strong data protection and unified access while streamlining backup operations
Cohesity Data Cloud is not unique in this area. There are a couple of other vendors who are playing in the same area. They provide some sort of isolation for the protected data that makes it very difficult, almost impossible to tamper with once it is stored on the platform. One of the major issues of ransomware attacks is that they happen in the background and it is too late after being hit. Giving a hard time for bad actors to access the data provides more immunity for your data from ransomware attacks. All organizations are very interested in as-a-service model where they do not pay upfront costs, but only get the services and pay for what they use. Converting from CapEx to OpEx is the ultimate goal for any financial manager in any organization. The model uses some sort of object storage for the backup data and contents, which gives a better level of safety than the traditional file system because normally the object storage is not subject to alteration. The only concern I have with cloud implementation is that if you have a presence on-premises, trying to use the cloud may become a performance challenge. It is a perfect situation for workloads that live in the cloud. The way I design things is we should not send data across the WAN to the cloud if it is a large volume that could potentially affect performance. A cloud solution is ideal for a cloud workload from Cohesity Data Cloud perspective. It is best to have some sort of local presence of a repository to do the backup using LAN performance. Then we can always send or upload the data to the cloud without impacting the actual backup window. Support for additional platforms and the option to do multi-tier performance would be beneficial. For example, if I have three types of workloads - SAP database, Oracle database, and SQL database - each with different backup window requirements, the ability to tier performance to meet these specific needs would be perfect for the actual workload and meeting the availability requirements of each application domain. The general perception is if it is not broken, do not fix it. In most cases, organizations do not see value for security until they are hit with something bad. With ever-increasing threats and risks of ransomware and data theft, the problem is becoming more obvious. Looking at what is happening in the market and seeing organizations being hit by security threats, the level of loss of services and client dissatisfaction makes security investment worthwhile. There is no real tangible ROI for security, but considering the potential of losing data forever or having it exposed unnecessarily to the market, it is worth the investment. The bad actors and risks are always reinventing themselves, so we must reinvent our security posture.
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

"We use Cohesity Helios primarily in our data management strategy for backup and reporting."
"Our backup and recovery rate using Cohesity is reduced almost one by fourth as compared to our old solution."
"It has excellent integration for virtualization, which means we can easily protect VMs, virtual machines, which consists mainly of snapshot backups that are quite easy to recover."
"It's very regimented and fast. It does local backup, cloud backup, long-term coverage, and disaster recovery."
"I rate the Cohesity Data Cloud solution a ten out of ten. It's an easy-to-use product that provides substantial value and security."
"I find the most important feature to be data protection."
"It is easy to install and use."
"Our data center size occupancy for Cohesity appliance is reduced by 70% when we installed Cohesity."
"I find Panther's detection capabilities and integrations to be highly valuable."
"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."
"The AI Triage feature saves a considerable amount of time, and if it were to incorporate organizational knowledge, it could provide finer-tuned results."
 

Cons

"The limitation that I see in Cohesity is that the minimum sized node is 36 terabytes, which is more than a small customer needs."
"Sometimes the support team does not provide proper assistance during critical issues from the cloud end."
"The primary drawback is the need to transfer large amounts of data to the cloud via an internet connection, requiring significant bandwidth."
"The pricing of the Cloud is on the higher side, and it should be cost-effective enough to compete with native solutions."
"They still have quite some way to go for improving their agents."
"One of the worst situations occurred when the sizing team did not get the correct subscription, usage, and capacity from Cohesity."
"Their documentation portal is not up to date for newer releases and I strongly recommend Cohesity to increase their efforts on the documentation portal."
"The only concern I have with cloud implementation is that if you have a presence on-premises, trying to use the cloud may become a performance challenge."
"The solution could be improved by providing more built-in integrations, which would reduce the need for me to build them myself."
"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."
 

Pricing and Cost Advice

"It's priced properly for the market."
"Competing products sometimes use deceptive marketing to make their products seem a lot cheaper. Comparing apples-to-apples, DataPlatform wins out."
"Regarding pricing, it's very costly and I rate it a four."
Information not available
report
Use our free recommendation engine to learn which AI Data Analysis solutions are best for your needs.
896,942 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
14%
Construction Company
11%
Comms Service Provider
6%
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 Business5
Midsize Enterprise1
Large Enterprise7
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Cohesity DataPlatform?
All organizations are very interested in as-a-service model where they do not pay upfront cost, but they only get the services and pay for what they use as they use it. Converting from CapEx to OpE...
What needs improvement with Cohesity Imanis Data?
Cohesity Data Cloud is not unique in this area. There are a couple of other vendors who are playing in the same area. They provide some sort of isolation for the protected data that makes it very d...
What is your primary use case for Cohesity Imanis Data?
I have been in a relationship with Cohesity Data Cloud for more than five years now. I have used Helios in the past.
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 ...
 

Also Known As

Imanis Data, DataPlatform, Cohesity Helios
No data available
 

Overview

 

Sample Customers

Navis, 1st Security Bank, Brown University, WestLotto
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.