Snowflake vs VAST Data comparison

The compared Snowflake Computing and VAST Data solutions aren't in the same category. Snowflake Computing is ranked #1 in CDW , with an average rating of 8.3, and holds a 15.8% mindshare in the category. VAST Data is ranked #10 in N , and holds a 6.3% mindshare. Additionally, 97% of Snowflake Computing users are willing to recommend the solution, compared to 100% of VAST Data users who would recommend it.

Snowflake

Read 104 Snowflake reviews

9,378 Views
5,721 Comparison Views

97% willing to recommend

VAST Data

Read 2 VAST Data reviews

5,730 Views
1,318 Comparison Views

100% willing to recommend

Snowflake

VAST Data

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

Snowflake and VAST Data are products in the data management solutions category. Snowflake leads with its cloud-native architecture and data warehousing strengths, whereas VAST Data stands out for high-performance storage solutions.

Features: Snowflake offers robust data sharing, seamless scalability, and advanced analytics support. VAST Data provides efficient storage infrastructure, enhanced performance, and resilience features.

Ease of Deployment and Customer Service: Snowflake integrates effortlessly into cloud ecosystems and provides reliable customer support. VAST Data offers flexible deployment options across storage environments with comprehensive customer service.

Pricing and ROI: Snowflake's usage-based pricing offers flexibility and long-term ROI aligned with data warehousing needs. VAST Data's cost model involves significant initial hardware investment, yielding substantial ROI for enterprises focused on high-performance storage.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: February 2026).

Buyer's Guide

Cloud Data Warehouse

February 2026

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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

104

Ranking in other categories

Data Warehouse (1st), Cloud Data Warehouse (1st), AI Synthetic Data (2nd), Database Management Systems (DBMS) (7th), AI Software Development (9th)

VAST Data

Average Rating

10.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

All-Flash Storage (30th), File and Object Storage (18th), NVMe All-Flash Storage Arrays (10th)

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 15.8%, down 21.5% compared to last year.
VAST Data, on the other hand, focuses on NVMe All-Flash Storage Arrays, holds 6.3% mindshare, up 5.9% since last year.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Snowflake	15.8%
Databricks	10.4%
Teradata	8.0%
Other	65.8%

Cloud Data Warehouse

NVMe All-Flash Storage Arrays Mindshare Distribution
Product	Mindshare (%)
VAST Data	6.3%
Dell PowerStore	18.6%
NetApp AFF	15.4%
Other	59.699999999999996%

NVMe All-Flash Storage Arrays

Featured Reviews

SunilPatil1

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.

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Alan Powers

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.

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Quotes from Members

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

Pros

"The most valuable features are the clustering, LS50, being able to change the size, the pay per use feature, the flexibility with many different sources and analytic applications."

"I like Snowflake's data exchange capabilities. It can exchange data with downstream systems and other vendor partners as well."

"It is quite easy to manage."

"A user-friendly and reliable solution."

"It is a highly scalable solution. There is no limit on storage or computing."

"The Mbps they have established is quite a bit faster than any other data warehouse."

"The most valuable feature has been the Snowflake data sharing and dynamic data masking."

"Can be leveraged with respect to better performance, auto tuning and competition."

More Snowflake pros

"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 cost of the solution could be reduced."

"Their strategy is just to leverage what you've got and put Snowflake in the middle. It does work well with other tools. You have to buy a separate reporting tool and a separate data loading tool, whereas, in some platforms, these tools are baked in. In the long-term, they'll need to add more direct partnerships to the ecosystem so that it's not like adding on tools around Snowflake to make it work. They can also consider including Snowflake native reporting tools versus partnering with other reporting tools. It would kind of change where they sit in the market."

"I have heard people having difficulty with the machine learning model, so there may be room for improvement."

"I would like to see more transparency in data processing, ATLs, and compute areas - which should give more comfort to the end users."

"Support needs improvement, as it can take several days before you get some initial support."

"The data sharing capabilities across business units within the organization should be better."

"If we can have a feature where the results can be moved to different tabs, so that I can compare the results with earlier queries before applying the changes, it would be great."

"The design of the product is easily misunderstood."

More Snowflake cons

"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

"I have worked with multiple clouds, and cost-wise, it is a bit costlier than others, such as Redshift. Its price should be reduced."

"The tool's pricing is based on the number of queries you want on your database. The cost is small. To get the tool's pricing, you can do the math based on the cost per query, which is $0.002. If you're running your queries frequently, your charges will be higher than running fewer queries."

"Snowflake’s pricing is transparent. It is one of the cheapest cloud database warehouse providers. The tool follows a credit cost model. Everything on Snowflake is charged on the basis of credits. The credits depend on the cloud region and the public cloud provider that we use. Hence, the cost per credit will be different for AWS in Frankfurt and AWS in India. I think North Virginia is the cheapest region in terms of cost per credit. You will be consuming around 16 credits for large data warehouses."

"There is a license needed to use this solution. There are a few licensing options available. They have a pay-as-you-go option, but it is recommended to pay upfront."

"Snowflake goes by credits. For a financial institution where you have 5,000 employees, monthly costs may run up to maybe $5,000 to $6,000. This is actually based on the usage. It is mostly the compute cost. Your computing cost is the variable that is actually based on your usage. It is pay-per-use. In a pay-per-use case, you won't be spending more than $6,000 to $7,000 a month. It is not more than that for a small or medium enterprise, and it may come down to $100K per year. Storage is very standard, which is $23 a terabyte. It is not much for any enterprise. If you have even 20 terabytes, you are not spending more than $400 per month, which may turn out to be $2,000 to $3,000 per annum."

"We used Snowflake to see if it is cheaper than using BigQuery. It was just to maintain the cost or the KPI regarding the cost of connectivity by users. Snowflake wasn't cheaper than BigQuery, and its affordability was the main issue."

"Pricing can be confusing for customers."

"Snowflake is cost-effective."

More Snowflake pricing and cost advice

"We acquired VAST Data as a one-time, capital purchase."

"Price-wise, VAST Data is not the cheapest, not the most expensive one."

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Manufacturing Company

Computer Software Company

Healthcare Company

Financial Services Firm

13%

Computer Software Company

11%

Manufacturing Company

11%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	20
Large Enterprise	58

No data available

Questions from the Community

What is your experience regarding pricing and costs for Snowflake?

For pricing, setup cost, and licensing, everything is managed smoothly. Regarding licensing, it is inexpensive. The setup cost is low, mainly due to AWS Marketplace; we only need to pay for serverl...

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What needs improvement with Snowflake?

Snowflake is already quite improved, but they have recently introduced AI features. AI integration would be beneficial for direct data capturing from systems such as SAP and Salesforce to Snowflake...

See all answers

What is your primary use case for Snowflake?

Snowflake is primarily used to handle the data warehousing part, for creating data modeling, and also keeping the raw data and creating reporting data so that it is further used for data analytics....

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Comparisons

Teradata vs Snowflake

Compared 8% of the time

Microsoft Azure Synapse Analytics vs Snowflake

Compared 6% of the time

Amazon Redshift vs Snowflake

Compared 6% of the time

Azure Data Factory vs Snowflake

Compared 5% of the time

SAP BW4HANA vs Snowflake

Compared 3% of the time

More Snowflake Competitors

Everpure FlashArray vs VAST Data

Compared 11% of the time

Everpure FlashBlade vs VAST Data

Compared 8% of the time

NetApp AFF vs VAST Data

Compared 7% of the time

Dell PowerScale (Isilon) vs VAST Data

Compared 7% of the time

Red Hat Ceph Storage vs VAST Data

Compared 3% of the time

More VAST Data Competitors

Product Reports

Buyer's Guide

Snowflake

February 2026

Download Snowflake product report

Buyer's Guide

NVMe All-Flash Storage Arrays

February 2026

Download VAST Data product report

Also Known As

Snowflake Computing, Snowflake Data Cloud

No data available

Overview

Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.

Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its enhanced security, performance, and ability to handle semi-structured data are notable. Users suggest improvements in UI, pricing, on-premises integration, and data science functions, while calling for better transaction performance and machine learning capabilities. Users benefit from effective SQL querying, real-time analytics, and sharing options, supporting comprehensive data analysis with tools like Tableau and Power BI.

What are Snowflake's Key Features?

Scalability: Easily adjusts to handle growing data volumes.
Seamless Integration: Works with a wide range of platforms.
Consumption-Based Costs: Pay only for what you use.
Time Travel: Access historical data effortlessly.
Data Sharing: Secure and efficient sharing of datasets.
Time Zone Conversion: Built-in feature for global operations.
Security: Robust measures to protect sensitive information.
Compute and Storage Separation: Independent scaling for optimal performance.

What Benefits Should You Look for?

Cost Efficiency: Optimized pricing models for minimal waste.
Enhanced Performance: Fast queries and processing times.
Flexibility: Handles both structured and semi-structured data.
Analytics Capabilities: Supports advanced data analysis and reporting.

In industries like finance, healthcare, and retail, Snowflake's flexible data warehousing and analytics capabilities facilitate cloud migration, streamline data storage, and allow organizations to consolidate data from multiple sources for advanced insights and AI-driven strategies. Its integration with analytics tools supports comprehensive data analysis and reporting tasks.

Snowflake Computing

Innovation to break decades of data storage trade-offs.

VAST Data

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, Microsoft, Teradata and others in Cloud Data Warehouse. Updated: February 2026.

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