Firebolt vs Snowflake Analytics comparison

Firebolt and Snowflake Computing are both solutions in the Cloud Data Warehouse category. Firebolt is ranked #15 with an average rating of 9.0, while Snowflake Computing is ranked #8 with an average rating of 8.3. Firebolt holds a 0.5% mindshare in CDW, compared to Snowflake Computing’s 0.5% mindshare. Additionally, 100% of Firebolt users are willing to recommend the solution, compared to 100% of Snowflake Computing users who would recommend it.

Firebolt

Read 1 Firebolt review

275 Views
139 Comparison Views

100% willing to recommend

Snowflake Analytics

Read 40 Snowflake Analytics reviews

300 Views
189 Comparison Views

100% willing to recommend

Firebolt

Snowflake Analytics

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Executive Summary

We performed a comparison between Firebolt and Snowflake Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse.

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

Buyer's Guide

Cloud Data Warehouse

May 2025

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Helped 851,604 peers since 2012

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

Firebolt

Ranking in Cloud Data Warehouse

15th

Average Rating

9.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Snowflake Analytics

Ranking in Cloud Data Warehouse

8th

Average Rating

8.4

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Web Analytics (1st)

Mindshare comparison

As of May 2025, in the Cloud Data Warehouse category, the mindshare of Firebolt is 0.5%, up from 0.4% compared to the previous year. The mindshare of Snowflake Analytics is 0.5%, down from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse

Featured Reviews

Iqbal Hossain Raju

Junior Software Engineer at IQVIA

Can quickly query it to generate quick results

We have used Snowflake before. We support both. Firebolt has better performance, executing queries much quicker than Snowflake. However, Snowflake has more functionality. Depending on the client's needs, we can recommend the best option. Firebolt is a relatively new technology. Snowflake has many functionalities. Firebolt does not support unloading data to S3. There is no built-in way to do this in Firebolt. Alternatively, the data can be retrieved using API calls and loaded to S3 manually. Data can be unloaded to S3 directly using Snowflake. Firebolt significantly improves our performance over Snowflake because it takes less time to execute queries. This is especially important for our company because we use some KPIs that require fast loading times.

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KamleshPant

Senior Software Architect at USEReady

Data ecosystem thrives with advanced governance and streaming capabilities

It is a data offering where I can see data lineage, data governance, and data security. Snowflake has a streaming capability to work with real-time streaming data and delta tables. Additionally, task management, job scheduling, and connecting multiple data sources unify my data across internal and external sources. The system ecosystem for analytics is enhanced, and AI capabilities are incorporated.

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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

"Firebolt is fast for analytical purposes. For example, we have analytical data in our data warehouse, and Firebolt can quickly query it to generate quick results."

"Its structure aids in storing, managing, and analyzing large datasets in the cloud, using various relationships like one-to-one and many-to-one, ensuring consistency in the data structure."

"It's cloud-based technology, so users can spin it up a lot faster"

"The platform not only provides ease of use but also stands out for its speedy execution, conveying a sense of robustness and reliability that I find appealing."

"I am impressed with the product's data-sharing feature."

"Scalability-wise, I rate the solution a ten out of ten."

"Its performance speed is very good."

"The most valuable features of Snowflake for our data analytics are its time travel capability, allowing easy data recovery, and its automatic optimization of partitioning and clustering."

"The Snowflake features I find most beneficial for data analysis are primarily related to analytics, particularly their features like materialized views and queues, which are especially useful for dashboarding purposes."

More Snowflake Analytics pros

Cons

"Firebolt's engine takes a long time to start because it needs to make engine calls."

"The tool should support EIM use cases. I guess the product is already working on it. I look forward to seeing inbuilt AI generative tools in the solution's future releases. The tool's price can be a little lower. The solution's on-premises support is also very limited. We have to rely on other support services to deploy it on-premises."

"When we insert data into a large table, it takes a lot of time."

"A room for improvement in Snowflake Analytics is Spark, particularly its connector for Spark. An additional feature I'd like to see in the next release of the solution is built-in analytics."

"The distribution methodology isn't as strong as Bethesda or SAP HANA. It's not as strong as other competitors."

"Navigating the user console can be challenging, particularly when looking for details like the account ID."

"The platform's data governance space needs more capability."

"Snowflake could improve in the areas of advanced machine learning AML and generative AI."

"End-to-end execution of jobs isn't possible with Snowflake, which means we have to do some customization."

More Snowflake Analytics cons

Pricing and Cost Advice

Information not available

"It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the price."

"Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query."

"I rate the product price a seven on a scale of one to ten, where one is low price, and ten is high price."

"I rate the product's licensing cost a five or six on a scale of one to ten, where one is low price, and ten is high price."

"The pricing is on the higher side."

"It is not overly expensive. I would rate the pricing a six out of ten, with ten being expensive."

"The solution's pricing is affordable."

"It's not costly if you configure it properly to ensure optimal performance. People don't configure it properly, which is why costs go up."

More Snowflake Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Computer Software Company

20%

Retailer

12%

Financial Services Firm

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Firebolt?

Firebolt is fast for analytical purposes. For example, we have analytical data in our data warehouse, and Firebolt can quickly query it to generate quick results.

See all answers

What needs improvement with Firebolt?

Firebolt's engine takes a long time to start because it needs to make engine calls. Currently, the data size of Firebolt is small. It can be increased.

See all answers

What advice do you have for others considering Firebolt?

One way to retrieve data from firewalls is to add query parameters to the connection string. For example, you can use the REST API to retrieve the security query. Some firewalls have been deployed ...

See all answers

What do you like most about Snowflake Analytics?

Its performance speed is very good.

See all answers

What is your experience regarding pricing and costs for Snowflake Analytics?

Snowflake Analytics is quite economical. It does not appear to incur significant extra expenses beyond the solution's initial cost. However, a complete pricing analysis is still in progress.

See all answers

What needs improvement with Snowflake Analytics?

The advantages of Snowflake Analytics outweigh the disadvantages. However, if it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it wo...

See all answers

Comparisons

Snowflake vs Firebolt

Compared 100% of the time

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Compared 26% of the time

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Compared 20% of the time

SAP IQ vs Snowflake Analytics

Compared 18% of the time

Mixpanel vs Snowflake Analytics

Compared 16% of the time

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Product Reports

Buyer's Guide

Cloud Data Warehouse

May 2025

Download Firebolt product report

Buyer's Guide

Snowflake Analytics

April 2025

Download Snowflake Analytics product report

Overview

Firebolt is a cloud-native data warehouse that enables organizations to process massive amounts of data at lightning-fast speeds. This is achieved through its unique architecture that utilizes a cloud-native approach, allowing for elastic scaling and parallel processing.

Firebolt helps organizations with a scalable and cost-effective solution for their data warehousing needs. It eliminates the need for expensive hardware and maintenance costs associated with traditional data warehouses. Firebolt's real-time analytics capabilities also enable businesses to make data-driven decisions quickly, giving them a competitive edge in their respective industries.

Firebolt

Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.

To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.

Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.

Snowflake Computing

Sample Customers

Information Not Available

Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: May 2025.

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