Firebolt vs Snowflake Analytics comparison

Firebolt and Snowflake Computing are both solutions in the Cloud Data Warehouse category. Firebolt is ranked #14 with an average rating of 9.0, while Snowflake Computing is ranked #8 with an average rating of 8.3. Firebolt holds a 0.6% mindshare in CDW, compared to Snowflake Computing’s 0.7% 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

365 Views
234 Comparison Views

100% willing to recommend

Snowflake Analytics

Read 35 Snowflake Analytics reviews

410 Views
277 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, Amazon Web Services (AWS) and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: October 2024).

Buyer's Guide

Cloud Data Warehouse

October 2024

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Categories and Ranking

Firebolt

Ranking in Cloud Data Warehouse

14th

Average Rating

9.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Snowflake Analytics

Ranking in Cloud Data Warehouse

8th

Average Rating

8.4

Number of Reviews

Ranking in other categories

Web Analytics (1st)

Mindshare comparison

As of November 2024, in the Cloud Data Warehouse category, the mindshare of Firebolt is 0.6%, down from 0.7% compared to the previous year. The mindshare of Snowflake Analytics is 0.7%, down from 0.8% 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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Manoj Kambli

Director at Hexaware Technologies Limited

For processing data, it can be easily optimized and supports structured and unstructured data

In terms of cost. Many customers face issues with the expenses on Snowflake. The pricing visibility is complex. If you understand pricing, you can estimate costs, but if not, it can be challenging. They need to provide better cost visibility upfront. For example, credits are not always utilized properly, which isn't easy for new users. A more user-friendly cost calculator would help, as the current one requires expertise to use effectively. These things are not easy for someone who is new to Snowflake, unlike Azure's calculators, which give good visibility into the cost. It does have a calculator, but you need to be skilled in using it. Otherwise, it's hard to estimate the total cost for future loads. For additional features, there could be its own AI model like Google has Gemini. Snowflake can come up with those kinds of features for Analytics. If you can just type in your prompt and get answers, especially for Analytics people on the client side, they will love that. Like, in Google's Gemini, you type the prompt and get the answers based on the data available. If they come up with that kind of AI and UI, it will be easier for clients to analyze their data. They can just type a query like, "What is my highest selling product?" They don't have to write a complex query.

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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 computational power of Snowflake is very good."

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

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

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

"The advanced features like time travel, zero copy cloning and scalability have been most useful. Snowflake requires zero maintenance for Data Warehousing on the cloud system."

"Snowflake Analytics' most valuable feature is its inbuilt infrastructure for executing queries, which I don't have to manage based on my data volume as it's taken care of by Snowflake."

"It can run complex workloads with varied compute."

"The most valuable feature of Snowflake Analytics is the ability to control and manage the cost."

More Snowflake Analytics pros

Cons

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

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

"One notable absence in Snowflake's offerings is an on-premises solution."

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

"The solution’s scalability could be improved."

"The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms."

"The UI could be more user-friendly."

"Integration into different Python and Jupyter notebooks needs to be improved."

"Implementing everything on-premise is challenging because it require proper support from advisors, DBAs, and others."

More Snowflake Analytics cons

Pricing and Cost Advice

Information not available

"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."

"On a scale of one to ten, where one is a low price, and ten is a high price, I rate the pricing a seven. The solution's pricing is high."

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

"The solution's pricing is affordable."

"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."

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

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

More Snowflake Analytics pricing and cost advice

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816,406 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Healthcare Company

16%

Computer Software Company

13%

University

Financial Services Firm

Computer Software Company

14%

Retailer

10%

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?

I would rate the pricing of Snowflake Analytics a two out of ten, where one is cheap, and ten is expensive. Especially when compared to competitors and what they offer, the pricing is good. Users p...

See all answers

What needs improvement with Snowflake Analytics?

Snowflake Analytics should probably have more built-in tools for master data management, data purification, and enhancement. Instead of using third-party tools, it would probably be good if it coul...

See all answers

Comparisons

Snowflake vs Firebolt

Compared 100% of the time

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Amplitude vs Snowflake Analytics

Compared 13% of the time

Glassbox vs Snowflake Analytics

Compared 11% of the time

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Product Reports

Buyer's Guide

Cloud Data Warehouse

October 2024

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Buyer's Guide

Snowflake Analytics

October 2024

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Firebolt

Snowflake Computing

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.

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.

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, Amazon Web Services (AWS) and others in Cloud Data Warehouse. Updated: October 2024.

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