Firebolt vs Snowflake Analytics comparison

Firebolt and Snowflake Computing are both solutions in the Cloud Data Warehouse category. Firebolt is ranked #16, while Snowflake Computing is ranked #10 with an average rating of 8.3. Firebolt holds a 1.7% mindshare in CDW, compared to Snowflake Computing’s 2.5% 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

419 Views
369 Comparison Views

100% willing to recommend

Snowflake Analytics

Read 43 Snowflake Analytics reviews

1,416 Views
581 Comparison Views

100% willing to recommend

Firebolt

Snowflake Analytics

Comparison Buyer's Guide

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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, Teradata and others in Cloud Data Warehouse.

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

Firebolt

Ranking in Cloud Data Warehouse

16th

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

10th

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Web Analytics (2nd)

Mindshare comparison

As of March 2026, in the Cloud Data Warehouse category, the mindshare of Firebolt is 1.7%, up from 0.4% compared to the previous year. The mindshare of Snowflake Analytics is 2.5%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Snowflake Analytics	2.5%
Firebolt	1.7%
Other	95.8%

Cloud Data Warehouse

Featured Reviews

Iqbal Hossain Raju

Junior Software Engineer at a healthcare company with 10,001+ employees

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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Garima Goel

Associate Principal Engineer at Nagarro

Have created secure cloud-based data lakes and improved real-time data processing using integrated AI features

There are many capabilities which Snowflake Analytics offers that I find valuable, such as the storage and compute engine that allows working with any cloud system such as AWS or Azure, alongside its efficiencies in storage computation and cost-effectiveness, which saves money compared to on-premise systems. We also have features such as pre-cached results, Time Travel, and fail-safe, which are very useful for restoring data if deleted accidentally, and the streams and data pipes that facilitate real-time ingestion are great features as well. Snowflake Analytics offers multiple new connectors, allowing me to connect it with Kafka, and with Snowpark, I can work with any programming language such as Python, Java, or Scala for data processing and analysis. The data sharing feature offered by Snowflake Analytics is good because it allows sharing specific sets of data to end customers or users from different Snowflake Analytics accounts without exposing the entire dataset for data security reasons. Snowflake Analytics' support for machine learning models and real-time insights has enhanced significantly. Originally, it wasn't strong in AI/ML, but now it has multiple models and forecasting capabilities, providing good competition to tools such as Databricks and Spark. In BI, I have worked majorly with Microsoft Power BI, and the integration with Snowflake Analytics is very easy. The way we integrate Snowflake Analytics with other on-premise systems just requires the warehouse details, username, passwords, and the account name, along with multiple options such as client ID and credentials for logging in and creating a session. The end-to-end encryption provided by Snowflake Analytics is very important because, in my previous firm, working in finance and investment management, data encryption is necessary due to the sensitive nature of customer data and the involvement of people's money. It's crucial to have encryption in transit and at rest, along with data masking features which Snowflake Analytics offers.

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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."

"The latest interface of Snowsight UI has added good capabilities and the interface is excellent."

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

"It's a scalable solution because you can analyze a huge amount of data in the solution."

"The solution auto-scales and it provides concurrency."

"Snowflake has a streaming capability to work with real-time streaming data and delta tables."

"One advantage is that installation is unnecessary since it's cloud-based. You subscribe to a Snowflake instance, configure it, and start using it. It's very user-friendly and allows you to scale up or down based on usage."

"Very good flexibility and it offers computation completely decoupled from the storage."

"Snowflake Analytics has a bright future and is capturing the market across various domains such as life sciences, BFSI, and supply chain."

More Snowflake Analytics pros

Cons

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

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

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

"The platform could work easier for AI implementation compared to one of its competitors."

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

"There are issues while loading data from Snowflake Analytics to the Power BI reporting."

"The solution's high price can be an area of concern that needs improvement."

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

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

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

"I have been using free trial version."

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

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

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

"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."

More Snowflake Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Computer Software Company

13%

Marketing Services Firm

Financial Services Firm

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	13
Large Enterprise	20

Questions from the Community

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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?

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.

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What needs improvement with Snowflake Analytics?

In my opinion, Snowflake Analytics can be improved by introducing more features, such as additional integration options. I remember using Snowflake Pro, which allows exporting direct data into the ...

See all answers

Comparisons

Snowflake vs Firebolt

Compared 40% of the time

Databricks vs Firebolt

Compared 15% of the time

Yellowbrick Cloud Data Warehouse vs Firebolt

Compared 13% of the time

Microsoft Azure Synapse Analytics vs Firebolt

Compared 11% of the time

Amazon Redshift vs Firebolt

Compared 9% of the time

More Firebolt Competitors

BigQuery vs Snowflake Analytics

Compared 11% of the time

Amplitude vs Snowflake Analytics

Compared 8% of the time

SAP Business Data Cloud vs Snowflake Analytics

Compared 7% of the time

Oracle Autonomous Data Warehouse vs Snowflake Analytics

Compared 5% of the time

OpenText Core Web Optimization vs Snowflake Analytics

Compared 3% of the time

More Snowflake Analytics Competitors

Product Reports

Buyer's Guide

Cloud Data Warehouse

February 2026

Download Firebolt product report

Buyer's Guide

Snowflake Analytics

February 2026

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

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