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Snowflake 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

Snowflake
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
106
Ranking in other categories
Data Warehouse (1st), Cloud Data Warehouse (1st), AI Synthetic Data (1st), Database Management Systems (DBMS) (3rd), AI Software Development (6th)
VAST Data
Average Rating
10.0
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
All-Flash Storage (28th), File and Object Storage (19th), NVMe All-Flash Storage Arrays (9th)
 

Mindshare comparison

Snowflake and VAST Data aren’t in the same category and serve different purposes. Snowflake is designed for Cloud Data Warehouse and holds a mindshare of 15.4%, down 17.4% compared to last year.
VAST Data, on the other hand, focuses on NVMe All-Flash Storage Arrays, holds 5.9% mindshare, down 5.9% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Snowflake15.4%
Databricks9.5%
Teradata8.9%
Other66.2%
Cloud Data Warehouse
NVMe All-Flash Storage Arrays Mindshare Distribution
ProductMindshare (%)
VAST Data5.9%
Dell PowerStore13.3%
NetApp AFF10.5%
Other70.3%
NVMe All-Flash Storage Arrays
 

Featured Reviews

SunilPatil1 - PeerSpot reviewer
Asset Builder at Genpact - Headstrong
Have prioritized security while managing multi-agent data migration and cloud adoption
We utilize Time Travel with Snowflake because this is a very useful feature. Everyone finds it crucial because in conventional data platforms, it's very difficult to handle these kinds of things. This feature is essential, though I don't have the use cases currently; it is just there for implementation. Regarding Snowflake's automated scaling and suspension features, this auto-scaling is very significant. We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.
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

"They separate compute and storage. You can scale storage independently of the computer, or you can scale computing independently of storage. If you need to buy more computer parts you can add new virtual warehouses in Snowflake. Similarly, if you need more storage, you take more storage. It's most scalable in the database essentially; typically you don't have this scalability independence on-premises."
"The adaptation to development languages is most valuable. Our developers can SQL code or something else. It has been convenient in that regard."
"For us, the virtual warehousing is likely the most valuable aspect."
"It helped us to build MVP (minimum viable product) for our idea of building a data warehouse model for small businesses."
"Its performance is a big advantage. When you run a query, its performance is very good. The inbound and outbound share features are also very useful for sharing a particular database. By using these features, you can allow others to access the Snowflake database and query it, which is another advantage of this solution. It has good security, and we can easily integrate it. We can connect it with multiple source systems."
"Snowflake is scalable both in terms of the amount of data that you can run through it and the number of users that engage with it."
"I'd definitely recommend the product."
"The solution's computing time is less."
"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

"They need to improve its ETL functionality so that Snowflake becomes an ETL product. Snowpipe can do some pipelines and data ingestion, but as compare to Talend, these functionalities are limited. The ETL feature is not good enough. Therefore, Snowflake can only be used as a database. You can't use it as an ETL tool, which is a limitation. We have spoken to the vendor, and they said they are working on it, but I'm not sure when they will bring it to production."
"I don't think that the AI tools in Snowflake are good."
"Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway."
"The solution could improve by allowing non-structured data, such as PDFs, images, or videos. We cannot see the data."
"The cost efficiency and monitoring of this solution could be improved. It's easy to spend a lot on Snowflake and it does offer monitoring tools but they're pretty basic."
"Snowflake is very good overall, but it could improve documentation for supporting different structures."
"Availability is a problem."
"More data governance and access control features would be a welcome addition."
"The write performance could be improved because it is less than half of the read performance."
"The read/write ratio is an area in the solution with some flaws and needs improvement."
 

Pricing and Cost Advice

"It is on a monthly basis. It is based on your usage. There are no additional costs from the point of the licensing fee. We do give some kind of evaluation to the customers about how much it is going to be. You can decide in Snowflake the virtual machine that you are using for customers. There are several kinds of virtual machines that you can use. It is similar to the clothing sizes: small to extra large. If you need more power in the coming month, you can decide in advance and take a more powerful machine. You can just select it from the platform. You can also decide which machine you want to take for extracting data."
"Pricing can be confusing for customers."
"The price of the solution is reasonable."
"Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month."
"The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year."
"Snowflake is cost-effective. However, the cost can depend on how it's being used and how efficiently the code is written. If engineers don't write efficient code and usage is billed based on processing, it can become costly. If they write optimal code and choose the best solution, it can reduce costs in comparison to other options, such as Oracle."
"It is hard to say because we're usually engaged in the transition as opposed to the long term. Their storage costs are easily within pennies of what AWS S3 would normally cost. Most of the clients I've been working with are in the financial sector, and they're relatively small. I would put them in an SMB connection. The first thing we have to bring up for people is that they're going to build this. They shouldn't store their data in S3. They should pipeline directly into Snowflake and use it on their storage. So, the cost is a big issue because these are small to medium size companies, and that is the biggest thing we had to price point for them."
"I have worked with multiple clouds, and cost-wise, it is a bit costlier than others, such as Redshift. Its price should be reduced."
"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
11%
Outsourcing Company
9%
Construction Company
6%
Financial Services Firm
14%
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 Business30
Midsize Enterprise20
Large Enterprise61
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Snowflake?
I am not the person who manages pricing, setup cost, and licensing. Our team is not limited in pricing. The only experience we have had in terms of running and reprocessing a large number of histor...
What needs improvement with Snowflake?
One main area for improvement in Snowflake is cost visibility and optimization; while it's flexible and scalable, costs can increase quickly if warehouses are left running unnecessarily or workload...
What is your primary use case for Snowflake?
As a Data Engineer, I primarily use Snowflake for data warehousing tasks as well as ETL processing, and sometimes I also use it for data sharing. I personally find Snowflake better than other tools...
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Also Known As

Snowflake Computing, Snowflake Data Cloud
No data available
 

Overview

 

Sample Customers

Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
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: September 2026.
913,806 professionals have used our research since 2012.