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Databricks vs VAST Data comparison

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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
95
Ranking in other categories
Cloud Data Warehouse (3rd), Data Science Platforms (1st), Data Management Platforms (DMP) (3rd), Streaming Analytics (1st)
VAST Data
Average Rating
10.0
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
All-Flash Storage (27th), File and Object Storage (18th), NVMe All-Flash Storage Arrays (9th)
 

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 9.3%, up 8.8% compared to last year.
VAST Data, on the other hand, focuses on NVMe All-Flash Storage Arrays, holds 6.0% mindshare, up 6.0% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks9.3%
Snowflake15.4%
Teradata9.2%
Other66.1%
Cloud Data Warehouse
NVMe All-Flash Storage Arrays Mindshare Distribution
ProductMindshare (%)
VAST Data6.0%
Dell PowerStore13.0%
NetApp AFF9.8%
Other71.2%
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

"Databricks is a one-stop shop for everything data related, and it can scale with you."
"The notebooks and the ability to share them with collaborators are valuable, as multiple developers can use a single cluster."
"Databricks is a robust solution for big data processing, offering flexibility and powerful features."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"Its lightweight and fast processing are valuable."
"I like cloud scalability and data access for any type of user."
"Databricks is quite easy to use and requires less coding and customizations than a solution like AWS SageMaker, enabling more people to efficiently build and host their ML code while leveraging the already integrated MLflow to track and monitor all our different experiments."
"The simplicity of development is the most valuable feature."
"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 provide more advanced features in future releases."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"We'd like a more visual dashboard for analysis It needs better UI."
"In the next release, I would like to see more optimization features."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"Databricks' technical support takes a while to respond and could be improved."
"In my opinion, areas of Databricks that have room for improvement involve the dashboards. Until recently, everyone used third-party systems such as Power BI to connect to Databricks for dashboards and reports, but they're now coming up with their IBI dashboard, and I think they're on the right track to improve that even further."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"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

"Price-wise, I would rate Databricks a three out of five."
"The pricing depends on the usage itself."
"The solution is a good value for batch processing and huge workloads."
"The solution is affordable."
"We're charged on what the data throughput is and also what the compute time is."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"We have only incurred the cost of our AWS cloud services. This is because during this period, Databricks provided us with an extended evaluation period, and we have not spent much money yet. We are just starting to incur costs this month, I will know more later on the full cost perspective."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"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
16%
Manufacturing Company
10%
Outsourcing Company
6%
Healthcare Company
6%
Financial Services Firm
13%
Manufacturing Company
10%
Computer Software Company
8%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise14
Large Enterprise60
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, Google, Databricks and others in Cloud Data Warehouse. Updated: October 2026.
920,769 professionals have used our research since 2012.