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Cohesity Data Cloud vs Databricks 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:
 

ROI

Sentiment score
3.3
Cohesity Data Cloud users reported cost savings, time efficiency, enhanced security, scalability, and improved ROI through simplified data management and reduced downtime.
Sentiment score
6.6
Databricks enabled significant cost reductions and efficiency improvements, leading to high user satisfaction and impressive ROI compared to other platforms.
If I find myself stuck in a cyber recovery situation, this tool can help me avoid spending my money on ransom payments.
Technical Architect at a tech vendor with 10,001+ employees
The level of confidence that Cohesity Data Cloud delivers to the clients is worth that cost.
Senior Manager Advisory Services at Optimum Online (Cablevision Systems)
This reduction in both time and money resulted in real-time impact and significant cost savings.
Consultant at Nice Software Solutions
For a lot of different tasks, including machine learning, it is a nice solution.
Senior Data Engineer at a logistics company with 51-200 employees
When it comes to big data processing, I prefer Databricks over other solutions.
Head CEO at bizmetric
 

Customer Service

Sentiment score
7.2
Cohesity Data Cloud customer service is responsive and reliable, though improvement is needed in legacy systems and issue resolution speed.
Sentiment score
7.0
Databricks support is generally responsive and proactive, though issues like language barriers and indirect support occasionally occur.
issues with Cohesity Data Cloud have not been encountered, suggesting a robust service.
Evangelist / CTO at fgnext
They need to work faster to meet client requirements, especially when business is affected.
Technical Lead at Cognizant
They probably upstaffed and made sure their knowledge was more up-to-date.
Owner at hq-12b
Whenever we reach out, they respond promptly.
Senior Data Engineer at a logistics company with 51-200 employees
As of now, we are raising issues and they are providing solutions without any problems.
Data Platform Architect at KELLANOVA
I would give Databricks customer support a rating of ten.
 

Scalability Issues

Sentiment score
7.4
Cohesity Data Cloud offers seamless scalability and performance improvements, simplifying expansion with flexible resource adjustments and enhancing ROI.
Sentiment score
7.4
Databricks is praised for easy scalability and handling large data volumes, despite some cost and technical setup concerns.
Scaling depends on subscription levels - when customers exceed their subscribed storage capacity, they can pay Cohesity to scale the resources.
Subject Matter Expert at Engage IT Services Pvt Ltd
There are no issues with scalability on the cloud end.
Technical Lead at Cognizant
It's easy to add additional nodes to a current existing cluster, making it quite easy to expand.
Owner at hq-12b
The sky's the limit with Databricks.
Governance And Engagement Lead
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Senior Data Engineer at a logistics company with 51-200 employees
Databricks is an easily scalable platform.
Data Platform Architect at KELLANOVA
 

Stability Issues

Sentiment score
7.6
Cohesity Data Cloud is praised for reliability and efficiency, with stability rated exceptional despite minor hardware and support issues.
Sentiment score
7.7
Databricks is stable and reliable, successfully handling large data volumes, with minor issues mostly self-resolving.
Compared to other tools, it is very efficient and simple to learn.
Technical Lead at Cognizant
I couldn't find anything negative about Cohesity Data Cloud specifically.
Sr. Engineer at a retailer with 501-1,000 employees
Cohesity Data Cloud is quite reliable.
Subject Matter Expert at Engage IT Services Pvt Ltd
They release patches that sometimes break our code.
Senior Data Engineer at a logistics company with 51-200 employees
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
Data Platform Architect at KELLANOVA
Databricks is definitely a very stable product and reliable.
Data Engineer at a tech vendor with 1,001-5,000 employees
 

Room For Improvement

Cohesity Data Cloud users desire improved documentation, support, and integration, plus cost-effectiveness, security, and enhanced functionality for various needs.
Databricks requires improved visualization, integration, interface, documentation, pricing, connector capabilities, community resources, support, and automated features.
Issues such as ransomware protection and fixing vulnerabilities should be prioritized.
Sr. Engineer at a retailer with 501-1,000 employees
Cohesity Data Cloud scans backups by default for ransomware and malware, sending notifications if there are any security concerns or compromised systems.
Subject Matter Expert at Engage IT Services Pvt Ltd
The primary drawback is the need to transfer large amounts of data to the cloud via an internet connection, requiring significant bandwidth.
Evangelist / CTO at fgnext
Adjusting features like worker nodes and node utilization during cluster creation could mitigate these failures.
Data Engineer at a engineering company with 1,001-5,000 employees
We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly.
Senior Data Engineer at a logistics company with 51-200 employees
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
Solution Architect at Mercedes-Benz AG
 

Setup Cost

Cohesity Data Cloud offers value with strong security, structured pricing, and flexibility, despite higher costs than some competitors.
Databricks provides a flexible, cost-effective cloud solution integrating with Azure and AWS, though premium features can raise costs.
Cohesity Data Cloud is more costly in the long term compared to physical tapes.
Evangelist / CTO at fgnext
Comparatively, compared to IBM and Commvault, Cohesity Data Cloud offers the best deal for my environment.
Sr. Engineer at a retailer with 501-1,000 employees
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.
Senior Manager Advisory Services at Optimum Online (Cablevision Systems)
It is not a cheap solution.
Data Platform Architect at KELLANOVA
I believe that in terms of credits for Databricks, we're spending between £15,000 and £20,000 a month.
Governance And Engagement Lead
My experience with pricing, implementation costs, and licensing is that it is very efficient and very fast.
 

Valuable Features

Cohesity Data Cloud provides scalable, secure data protection with efficient storage, easy integration, and comprehensive management for MSPs.
Databricks excels in user-friendly, scalable data management, supporting diverse languages, with strong analytics and governance features in the cloud.
It replicates data to the cloud in a tamper-proof manner, offering protection against ransomware attacks since it is not under administrative control.
Evangelist / CTO at fgnext
They have a feature called DataSock, which enhances data protection.
Technical Architect at a tech vendor with 10,001+ employees
The initial deployment of Cohesity Data Cloud, from my experience, is easy.
Sr. Engineer at a retailer with 501-1,000 employees
Databricks' capability to process data in parallel enhances data processing speed.
Data Engineer at a engineering company with 1,001-5,000 employees
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
Data Platform Architect at KELLANOVA
The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.
Data Engineer at CRAFT Tech
 

Categories and Ranking

Cohesity Data Cloud
Ranking in Data Management Platforms (DMP)
8th
Average Rating
9.0
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Backup and Recovery (15th), Cloud Backup (16th), AI Data Analysis (11th)
Databricks
Ranking in Data Management Platforms (DMP)
5th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
94
Ranking in other categories
Cloud Data Warehouse (4th), Data Science Platforms (1st), Streaming Analytics (1st)
 

Mindshare comparison

As of August 2026, in the Data Management Platforms (DMP) category, the mindshare of Cohesity Data Cloud is 3.7%, up from 2.5% compared to the previous year. The mindshare of Databricks is 7.4%. It is calculated based on PeerSpot user engagement data.
Data Management Platforms (DMP) Mindshare Distribution
ProductMindshare (%)
Databricks7.4%
Cohesity Data Cloud3.7%
Other88.9%
Data Management Platforms (DMP)
 

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.
SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
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909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
13%
Construction Company
12%
Comms Service Provider
7%
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
6%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise1
Large Enterprise7
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise59
 

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.
Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...
 

Also Known As

Imanis Data, DataPlatform, Cohesity Helios
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
 

Overview

 

Sample Customers

Navis, 1st Security Bank, Brown University, WestLotto
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Find out what your peers are saying about Cohesity Data Cloud vs. Databricks and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.