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Cohesity DataProtect vs Cube comparison

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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 DataProtect
Ranking in AI Data Analysis
17th
Average Rating
9.0
Reviews Sentiment
7.2
Number of Reviews
77
Ranking in other categories
Backup and Recovery (10th), Cloud Backup (15th)
Cube
Ranking in AI Data Analysis
18th
Average Rating
8.4
Reviews Sentiment
6.2
Number of Reviews
5
Ranking in other categories
Embedded BI (10th)
 

Mindshare comparison

As of October 2026, in the AI Data Analysis category, the mindshare of Cohesity DataProtect is 0.4%, down from 0.8% compared to the previous year. The mindshare of Cube is 0.3%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Cohesity DataProtect0.4%
Cube0.3%
Other99.3%
AI Data Analysis
 

Featured Reviews

Kalaiarasan Meganathan - PeerSpot reviewer
Specialist at HCLSoftware
Backup operations have become faster and daily recoveries run smoothly for on‑prem workloads
When compared to other tools, the deduplication in Cohesity DataProtect is very fast, and the restore performance is better than other tools. Global deduplication ensures that only unique data blocks are stored, significantly reducing storage consumption. Cohesity DataProtect's dashboard displays options and errors clearly, making it easy to access and understand how to fix issues. Cohesity DataProtect's ability to start processes automatically without manual selections enhances its reliability. Cohesity DataProtect's architecture ensures that agent installations automatically reflect in the dashboard, allowing for seamless integration into backup jobs. This improves operational efficiency, ensuring backups can be triggered without manual refreshes. Additionally, the user interface is intuitive, and the respect of the N-1 rule during updates helps prevent client-affecting issues.
Amir Hassan - PeerSpot reviewer
Data Scientist / Data Analytics Consultant at Fiverr International Ltd
Managing complex data hierarchies has improved analytics but still needs richer hierarchy types
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These factors help me gauge the efficiency of the algorithms clearly. Regarding improving Cube, I believe that when we are building hierarchies, I should enhance the type of hierarchies. For instance, in a few countries lacking state systems, there could be a hierarchy without proper categorization—such as continent, country, and city. Therefore, it would be beneficial if I could improve the hierarchies to retrieve data as quickly as possible from Cube.

Quotes from Members

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

Pros

"It works well with backup virtual machines and SQL services we have been using."
"We are now easily managing the data from Helios for all the clusters centrally."
"The most valuable features are the rapid VM restores and the ability to quickly find files and download them directly to my desktop so that I can put them where I need them to be."
"The most valuable aspect for me is that I don't have to deal with media in terms of tapes like our existing system does."
"Cohesity will save us money, time, and manpower."
"Cohesity is powerful and simple!"
"Cohesity DataProtect is user-friendly and straightforward. The setup process was effortless, and both the backup and restore operations are speedy."
"It has vastly improved our ability to save money by backing up and replicating our backups off-site."
"Implementation was super smooth, and within two weeks we were up and running and the metrics were exposed in our app."
"NPS improved to approximately eight out of ten for our feature, and internally ticket handling times decreased, allowing reallocation of resources to higher-impact projects."
"Cube completes my tasks very easily and takes less time, allowing me to deliver any project in a timely manner to our clients."
"Cube's caching mechanism impacts my database query loads and response times significantly."
 

Cons

"We have encountered a few cluster crashes because of indexing on XFS file systems this should be fixed in 6.1.0"
"Microsoft Exchange online mailbox backups would be fantastic."
"I find Cohesity DataProtect to be expensive."
"Cohesity cluster upgrades have not been as easy as a single button click. They are a manual process that requires upgrading each node into a cluster individually."
"In terms of what could be improved, it just needs some maturity."
"You need to put the full name instead of a few letters while searching for backup. It should also improve customization."
"What areas have room for improvement? Is there anything that could be simplified to make it better?"
"Quality testing of upgrades should be somewhat improved."
"When it comes to the initial setup of Cube, I faced some challenges, including server issues when uploading data from local sources to the Unipi servers."
"Cube can be improved by enhancing data refresh over multiple tabs."
"Cube's interface can be challenging for non-technical users, needing clearer use-case examples to ease integration into workflows."
"There is no way to create a real template that is not exposed directly in the UI."
"I did not see any return on investment from Cube."
 

Pricing and Cost Advice

"The tool's pricing is average."
"The solution's pricing is in the mid-range, where it's neither costly nor cheap."
"Pricing, setup costs, etc. are pretty typical. The initial cost for Cohesity was less than other products the we evaluated. Cohesity's pricing does offer benefits as DR target costs are less than other solutions. You are not charged for DataProtect licensing for target DR data consumption."
"There is monthly licensing."
"From my last assessment, the pricing for Cohesity DataProtect was reasonable. Compared to its closest competitor, Rubrik, I found Rubrik's pricing to be somewhat high-end. While Rubrik may have more advanced security features than Cohesity DataProtect currently, Cohesity DataProtect is releasing a new solution in the near future that will compete directly with Rubrik."
"If SQL is in heavy use at your location, I would highly recommend narrowing your PoC testing to Cohesity and Rubrik. They will be competitive on pricing with each other, so really put them through the paces."
"With respect to pricing, make sure that you look at both Rubrik and Cohesity as they are very similar and are quite competitive."
"The pricing model is impressive and very effective."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
10%
Manufacturing Company
10%
Outsourcing Company
8%
Construction Company
7%
Construction Company
24%
Comms Service Provider
16%
Manufacturing Company
9%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise22
Large Enterprise43
No data available
 

Questions from the Community

What needs improvement with Cohesity DataProtect?
There are several areas that have room for improvement, and I believe there are other aspects that could be enhanced as well.
What is your primary use case for Cohesity DataProtect?
I use Cohesity DataProtect for backup, analysis, and recovery purposes.
What is your experience regarding pricing and costs for Cube?
The cost is around $1,500 per month. The exact number is not coming to my mind, but it is approximately $1,500 or $200 per month.
What needs improvement with Cube?
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These ...
What is your primary use case for Cube?
In my recent projects with Cube, I was tasked with finding crashes and the reasons behind them using three datasets: people, crash, and vehicles. I had to merge them and preprocess them, clean and ...
 

Comparisons

 

Also Known As

Cohesity
No data available
 

Overview

 

Sample Customers

Tribune Media
Information Not Available
Find out what your peers are saying about Cohesity DataProtect vs. Cube and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.