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Cohesity Data Cloud vs Query.ai 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 (15th), Cloud Backup (16th), Data Management Platforms (DMP) (8th)
Query.ai
Ranking in AI Data Analysis
30th
Average Rating
8.0
Reviews Sentiment
4.3
Number of Reviews
3
Ranking in other categories
Security Analytics (5th), AI Security (27th)
 

Mindshare comparison

As of August 2026, in the AI Data Analysis category, the mindshare of Cohesity Data Cloud is 0.5%, down from 0.6% compared to the previous year. The mindshare of Query.ai is 0.4%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Cohesity Data Cloud0.5%
Query.ai0.4%
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.
reviewer2834415 - PeerSpot reviewer
DevSecOps engineer at a financial services firm with 10,001+ employees
Query automation has reduced investigation time and frees our team to focus on complex DevOps tasks
The best features Query.ai offers make anything with queries much easier, and it ensures that it is very optimistically correct with whatever it is doing. It also delivers access throughout real-time and historical data, making it really quick and fast to act upon. The real-time and historical data access from Query.ai helps me in my work by allowing me to go through queries quicker, so even if there are errors anywhere, detection happens pretty fast. Because it is on automation and the investigation is done really quickly, it saves a lot of my time. Query.ai has positively impacted my organization by being very appreciative for what it has done and how there is lesser work task on ourselves, and we could be focusing on more things because as DevOps, we have a lot of work. The reduction in workload due to Query.ai has made things easier, especially every time we need to investigate why an SQL query is not loading or if it is duplicating. It is especially effective during access management to either provision or de-provision access for users.

Quotes from Members

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

Pros

"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."
"I definitely recommend this tool to others due to its simplicity, security, features, and flexibility."
"My favorite feature of Cohesity Data Cloud is the setup, as it is very fast compared to other solutions; I have worked in different clouds, and Cohesity Data Cloud stands out as superior."
"The hyper-converged architecture and scalability are hugely important for growing service companies."
"Cohesity Data Cloud is user-friendly, and anyone can use this tool; the support is really good, especially the web support, and the dashboard and everything are good."
"Our data center size occupancy for Cohesity appliance is reduced by 70% when we installed Cohesity."
"One of the most outstanding features is forever incremental, which provides immutable backups."
"I find the most important feature to be data protection."
"Query.ai has positively impacted my organization by being very appreciative for what it has done and how there is lesser work task on ourselves, and we could be focusing on more things because as DevOps, we have a lot of work."
"Query.ai helps reduce costs and improve security in my organization, though I do not have the actual numbers, but the impact was significant."
"Time saving and accuracy are the main benefits; in my data mart and data lakes project, Query.ai has been very useful, with all transformations automated, which had a huge impact on our entire project."
 

Cons

"In terms of functionality, Helios has been effective, but sometimes it doesn't show the exact cluster name for backups."
"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 initial setup can be complex, depending on the environment."
"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 pricing of the Cloud is on the higher side, and it should be cost-effective enough to compete with native solutions."
"Probably Query.ai could be a little more optimized, but it is good."
"I felt the pricing is somewhat higher."
"Query.ai performs well, but there are other software options that do auditing a little better."
 

Pricing and Cost Advice

"It's priced properly for the market."
"Regarding pricing, it's very costly and I rate it a four."
"Competing products sometimes use deceptive marketing to make their products seem a lot cheaper. Comparing apples-to-apples, DataPlatform wins out."
Information not available
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
13%
Construction Company
12%
Comms Service Provider
7%
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 Query.ai?
My experience with pricing, setup cost, and licensing was good. I felt the pricing is somewhat higher.
What needs improvement with Query.ai?
Probably Query.ai could be a little more optimized, but it is good.
What is your primary use case for Query.ai?
Initially, I started by checking out what Query.ai is about, and from there, my main use case has been for data queries and how to edit a query. The main use case for Query.ai that I wish it could ...
 

Also Known As

Imanis Data, DataPlatform, Cohesity Helios
No data available
 

Overview

 

Sample Customers

Navis, 1st Security Bank, Brown University, WestLotto
Information Not Available
Find out what your peers are saying about Cohesity Data Cloud vs. Query.ai and other solutions. Updated: June 2026.
909,725 professionals have used our research since 2012.