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Databricks vs VAST Data comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

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

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
94
Ranking in other categories
Cloud Data Warehouse (4th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
VAST Data
Average Rating
10.0
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
All-Flash Storage (30th), File and Object Storage (18th), NVMe All-Flash Storage Arrays (10th)
 

Mindshare comparison

Databricks and VAST Data aren’t in the same category and serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 9.7%, up 9.1% compared to last year.
VAST Data, on the other hand, focuses on NVMe All-Flash Storage Arrays, holds 6.1% mindshare, up 5.9% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks9.7%
Snowflake15.1%
Teradata8.8%
Other66.4%
Cloud Data Warehouse
NVMe All-Flash Storage Arrays Mindshare Distribution
ProductMindshare (%)
VAST Data6.1%
Dell PowerStore14.6%
NetApp AFF12.1%
Other67.2%
NVMe All-Flash Storage Arrays
 

Featured Reviews

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.
Alan Powers - PeerSpot reviewer
HPC CTO at a manufacturing company with 10,001+ employees
Stability-wise, a device that has been up and running for years
The failover capability and resiliency are some of the solution's valuable features. The big thing is resilience because it has richer coding in it, so multiple devices can't fail. Also, one can still access a number of CBoxes that can allow one to access their file system. Once a device fails, it fails the transparency of the end-user, and it just starts using another resource. The encryption capability, the snapshots, along with a whole bunch of features make the tool valuable. VAST Data keeps adding more and more features all the time.

Quotes from Members

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

Pros

"The simplicity of development is the most valuable feature."
"The solution is very easy to use."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"Of the available feature set, I like the Imageflow feature a lot."
"We recommend Databricks, especially with the Azure cloud frameworks."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"It is fast, it's scalable, and it does the job it needs to do."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job, so you can create a robust solution by working together with other professionals."
"This has been one of the most reliable storage systems that I have ever used."
"The solution is useful for machine learning and scientific applications, including computer simulations."
 

Cons

"The product should incorporate more learning aspects. It needs to have a free trial version that the team can practice."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"The product could be improved regarding the delay when switching to higher-performing virtual machines compared to other platforms."
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"CI/CD needs additional leverage and support."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"A couple of times I faced an issue where a long-running process was consuming a lot of time and then stopped abruptly."
"The read/write ratio is an area in the solution with some flaws and needs improvement."
"The write performance could be improved because it is less than half of the read performance."
 

Pricing and Cost Advice

"The cost is around $600,000 for 50 users."
"The product pricing is moderate."
"I'm not involved in the financing, but I can say that the solution seemed reasonably priced compared to the competitors. Similar products are usually in the same price range. With five being affordable and one being expensive, I would rate Databricks a four out of five."
"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."
"The cost for Databricks depends on the use case. I work on it as a consultant, so I'm using the client's Databricks, so it depends on how big the client is."
"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."
"I rate the price of Databricks as eight out of ten."
"Price-wise, VAST Data is not the cheapest, not the most expensive one."
"We acquired VAST Data as a one-time, capital purchase."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
10%
Computer Software Company
7%
Healthcare Company
5%
Financial Services Firm
14%
Manufacturing Company
12%
Computer Software Company
10%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise12
Large Enterprise57
No data available
 

Questions from the Community

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...
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Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
No data available
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Norwest Venture Partners, General Dynamics Information Technology, Ginkgo Bioworks
Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: June 2026.
900,644 professionals have used our research since 2012.