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Cohesity Data Cloud vs Cube 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
11th
Average Rating
9.0
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Backup and Recovery (19th), Cloud Backup (14th), Data Management Platforms (DMP) (6th)
Cube
Ranking in AI Data Analysis
138th
Average Rating
9.0
Reviews Sentiment
9.3
Number of Reviews
1
Ranking in other categories
Embedded BI (9th)
 

Mindshare comparison

As of April 2026, in the AI Data Analysis category, the mindshare of Cohesity Data Cloud is 0.6%, up from 0.4% compared to the previous year. The mindshare of Cube is 0.2%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Cohesity Data Cloud0.6%
Cube0.2%
Other99.2%
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.
Peter Jefferson - PeerSpot reviewer
Customer Success Manager at Unilever Inc.
Automated reporting has freed time for deeper analysis and improved budget and variance reviews
A specific example of how my team uses Cube in our day-to-day work is that above all, Cube has vastly enhanced our ability to get financial reporting done quickly and free up our time to really dig deep into various accounts. This has greatly improved the accuracy of our financial results beyond what you would even believe. The clean portal and organization help my team by making it easy to navigate and the data collected is very clean and managed in an understandable manner, hence making it very easy to make data-driven decisions. Regarding the features, customer service is great, customization of financial reports, ease of integration with other tools seamlessly, continuous system testing and upgrades, and easy creation of monthly and P&L variance analysis. Data import and export is smooth and efficient. Monthly reporting and analysis is easy to pull and update. The positive impact Cube has had on my organization includes additional time for analysis, less than budgeted spend, and more accurate financial results resulting in better decisions. The error rate has reduced from 40 to 50%. The reduction in errors has affected my team and the business overall by improving speed and efficiency for month-end close processes. Better consolidation of data for long-term trend analysis is evident, and easy P&L creation and variance analysis has been great.
report
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
12%
Construction Company
12%
University
6%
No data available
 

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 Cube?
My experience with pricing, setup cost, and licensing is that the price is very cost-effective and licensing is very affordable, making it a great financial reporting tool for startups.
What needs improvement with Cube?
Cube can be improved by enhancing data refresh over multiple tabs. The speed at which data is imported can also be improved. Additionally, Cube needs to add functionality for headcount planning.
What is your primary use case for Cube?
Cube is the best absolute best FP&A software, dollar for dollar out there. My organization looked at a few different tools and none of them came close to Cube in terms of the value that we get ...
 

Also Known As

Imanis Data, DataPlatform, Cohesity Helios
No data available
 

Overview

 

Sample Customers

Navis, 1st Security Bank, Brown University, WestLotto
Information Not Available
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