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 0.6% 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

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185 Comparison Views

100% willing to recommend

Snowflake Analytics

Read 39 Snowflake Analytics reviews

352 Views
239 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: February 2025).

Buyer's Guide

Cloud Data Warehouse

February 2025

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Helped 832,723 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 February 2025, in the Cloud Data Warehouse category, the mindshare of Firebolt is 0.5%, down from 0.5% compared to the previous year. The mindshare of Snowflake Analytics is 0.6%, 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."

"One of the valuable features is the solution’s time travel capability. The solution is highly stable. The solution is highly scalable. The initial setup is straightforward, and the deployment process is quick and efficient. I recommend the solution. Overall, I rate it a perfect ten."

"Scaling is very high – there's no problem for scaling purposes. The learning curve is very small. And there are a lot of advanced features like handling duplicates, security, data governance, data sharing, and data cloning."

"One of the distinctive features of Snowflake is its ability to handle large datasets efficiently."

"It's not necessary to use a physical server."

"Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options."

"Snowflake Analytics is pretty easy to use with the connectors for integration with the tools and systems in my company."

"Deployment is straightforward as it's a SaaS product. No maintenance required."

"Snowflake Analytics' predictive analytics elements, which incorporate AI, are good and easy to integrate."

More Snowflake Analytics pros

Cons

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

"The pricing visibility is complex. If you understand pricing, you can estimate costs, but if not, it can be challenging."

"I don't see many drawbacks with Snowflake Analytics, but it's not as mature as other tools. It is evolving and needs to integrate various features, like data loading and analytics, better. These components are not fully connected, so the tool should become a more integrated application."

"One area that could benefit from enhancement is the user interface for more visual ESM features."

"Snowflake should include a WHERE clause for building data pipelines."

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

"Moving data from legacy systems to Snowflake is not that easy. There are some cases where processors are not actually compatible with Snowflake."

"The solution’s scalability could be improved."

"Snowflake Analytics can improve the integration with machine learning tools and AI and it will make the solution more usable."

More Snowflake Analytics cons

Pricing and Cost Advice

Information not available

"The solution's price is high and I would rate it an eight out of ten."

"Snowflake Analytics is not an expensive solution, and its pricing is average."

"Snowflake Analytics is a little more costly than Azure."

"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."

"The solution's pricing is affordable."

"When using Snowflake, you pay based on your usage. They calculate how much CPU has been used. If you use excess warehouse storage, you are charged one credit per hour. If you are in Asia, you are charged $3 per credit. If you have 10 users running parallel with the same excess, you will be charged $30."

"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."

More Snowflake Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Computer Software Company

17%

Retailer

12%

Financial Services Firm

Manufacturing Company

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 ...

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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?

We don't handle the price part. However, our customer is happy with our services regarding Snowflake Analytics.

See all answers

What needs improvement with Snowflake Analytics?

When we insert data into a large table, it takes a lot of time. This performance issue can be improved.

See all answers

Comparisons

Snowflake vs Firebolt

Compared 100% of the time

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Compared 35% of the time

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Compared 19% of the time

SAP IQ vs Snowflake Analytics

Compared 15% of the time

Teradata vs Snowflake Analytics

Compared 13% of the time

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Product Reports

Buyer's Guide

Cloud Data Warehouse

February 2025

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Buyer's Guide

Snowflake Analytics

January 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: February 2025.

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