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 8.1, and holds a 17.8% mindshare in the category. VAST Data is ranked #13 in N , and holds a 6.0% 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 101 Snowflake reviews

10,613 Views
7,747 Comparison Views

97% willing to recommend

VAST Data

Read 2 VAST Data reviews

5,196 Views
1,247 Comparison Views

100% willing to recommend

Snowflake

VAST Data

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 27, 2025

Snowflake and VAST Data compete in data management and storage. Snowflake generally holds an advantage in advanced analytics and flexibility, while VAST Data offers superior performance in storage-intensive use cases.

Features: Snowflake offers cloud-native data warehousing, real-time data processing, and broad compatibility with various data types. VAST Data focuses on high-performance storage systems, advanced data reduction, and multi-tier storage, optimizing costs and performance.

Ease of Deployment and Customer Service: Snowflake simplifies cloud platform integration with fast deployment and responsive support. VAST Data minimizes downtime and ensures efficient data flow through its robust deployment model.

Pricing and ROI: Snowflake employs a pay-as-you-go model with lower initial setup costs, offering cost predictability. VAST Data may have higher upfront costs but provides long-term savings via data reduction, yielding a strong ROI over time.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: July 2025).

Buyer's Guide

Cloud Data Warehouse

July 2025

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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

7.0

Number of Reviews

101

Ranking in other categories

Data Warehouse (1st), Cloud Data Warehouse (1st), AI Synthetic Data (1st)

VAST Data

Average Rating

10.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

All-Flash Storage (32nd), File and Object Storage (18th), NVMe All-Flash Storage Arrays (13th)

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 17.8%, down 23.1% compared to last year.
VAST Data, on the other hand, focuses on NVMe All-Flash Storage Arrays, holds 6.0% mindshare, down 6.4% since last year.

Cloud Data Warehouse

NVMe All-Flash Storage Arrays

Featured Reviews

Snehasish Das

Technology Leader at eTCaaS

Transformation in data querying speed with good migration capabilities

Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses. One key feature is the separation of compute and storage, which eliminates storage limitations. It also has tools for migrating data from legacy databases like Oracle. Its stability and efficiency enhance performance greatly. Tools in the AI/ML marketplace are readily available without needing development.

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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.

Read full review

Quotes from Members

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

Pros

"The features that I have found most valuable are the ease of use, the rapidness, how quickly the solution can be implemented, and of course that it's been very easy to move from the on-premise world to the Cloud world because Snowflake is based on SQL also."

"Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses."

"All the people who are working with Snowflake are extremely happy with it because it is designed from a data-warehousing point of view, not the other way around. You have a database and then you tweak it and then it becomes a data warehouse."

"The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power."

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

"This is the advanced version of the cloud version, so it's really a flexible tool. If you have it implemented at home, you can access it from anywhere."

"It is very fast and the performance is great."

"Scaling is a big plus point of Snowflake."

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

"Sometimes it can be tricky to manage multiple environments if you're purely using Snowflake as your scripting and pipeline environment."

"More data governance and access control features would be a welcome addition."

"Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway."

"I don't know about GCP, if they have connected for GCP. If they don't, they should allow for it."

"There is a scope for improvement. They don't currently support integration with some of the Azure and AWS native services. It would be good if they can enhance their product to integrate with these services."

"There is a need for improvements in the documentation, this would allow more people to switch over to this solution."

"The documentation could improve. They should provide architecture information."

"The addition of more AI capabilities in Snowflake would help us more."

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

"You pay based on the data that you are storing in the data warehouse and there are no maintenance costs."

"The pricing is economical as compared to traditional solutions like Oracle and competitive pricing."

"We're based on credits. So, we're paying four and a half dollars of credit. There are no additional costs. I would rate it a two out of five in terms of pricing."

"I believe that pricing is reasonable for this solution."

"Pricing is based on usage. It is the most expensive of our data tools."

"The solution is costly, making it unsuitable for midsize organizations due to its price."

"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."

"There is a separation of storage and compute, so you only pay for what you use."

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

21%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Computer Software Company

14%

Manufacturing Company

13%

Financial Services Firm

12%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Snowflake?

The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power.

See all answers

What is your experience regarding pricing and costs for Snowflake?

It is complicated to understand how requests impact warehouse size. Unlike competitors such as Microsoft and Databricks ( /products/databricks-reviews ), Snowflake lacks transparency in estimating ...

See all answers

What needs improvement with Snowflake?

Pricing is quite high for Snowflake Data Cloud, which is an area that could be improved. Snowflake Data Cloud is still beneficial to use, but only if you can afford it. It can be cost-effective if ...

See all answers

Can you provide any information you may have on VAST Data?

Here are some technical details about VAST Data: VAST Data is a software-defined storage platform designed to scale to petabyte and exabyte levels. The platform uses a unique architecture that de...

See all answers

Comparisons

Azure Data Factory vs Snowflake

Compared 13% of the time

Dremio vs Snowflake

Compared 8% of the time

Teradata vs Snowflake

Compared 7% of the time

Amazon EMR vs Snowflake

Compared 7% of the time

Amazon Redshift vs Snowflake

Compared 5% of the time

More Snowflake Competitors

NetApp AFF vs VAST Data

Compared 10% of the time

Dell PowerScale (Isilon) vs VAST Data

Compared 10% of the time

Pure Storage FlashBlade vs VAST Data

Compared 8% of the time

Qumulo vs VAST Data

Compared 8% of the time

Pure Storage FlashArray vs VAST Data

Compared 5% of the time

More VAST Data Competitors

Product Reports

Buyer's Guide

Snowflake

July 2025

Download Snowflake product report

Buyer's Guide

NVMe All-Flash Storage Arrays

July 2025

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, Google and others in Cloud Data Warehouse. Updated: July 2025.

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