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Firebolt vs Snowflake comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2025

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
1
Ranking in other categories
No ranking in other categories
Snowflake
Ranking in Cloud Data Warehouse
1st
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
101
Ranking in other categories
Data Warehouse (1st), AI Synthetic Data (1st)
 

Mindshare comparison

As of August 2025, in the Cloud Data Warehouse category, the mindshare of Firebolt is 0.7%, up from 0.4% compared to the previous year. The mindshare of Snowflake is 17.8%, down from 23.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Snowflake17.8%
Firebolt0.7%
Other81.5%
Cloud Data Warehouse
 

Featured Reviews

Iqbal Hossain Raju - PeerSpot reviewer
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.
Snehasish Das - PeerSpot reviewer
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.

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 tool is very easy to use. The solution’s desktop features are also very easy to use. Also, the product’s SQL-based connectivity is also good. It can connect with any tool."
"The cloning functionality has been the most valuable. I have been able to completely copy databases. The data sharing concept is also useful. As compared to, for example, SAP, Snowflake is a lot more open, and it allows a lot more connectivity for other providers than an SAP ecosystem."
"The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes."
"The Mbps they have established is quite a bit faster than any other data warehouse."
"The ability to share the data and the ability to scale up and down easily are the most valuable features. The concept of data sharing and data plumbing made it very easy to provide and share data. The ability to refresh your Dev or QA just by doing a clone is also valuable. It has the dynamic scale up and scale down feature. Development and deployment are much easier as compared to other platforms where you have to go through a lot of stuff. With a tool like DBT, you can do modeling and transformation within a single tool and deploy to Snowflake. It provides continuous deployment and continuous integration abilities. There is a separation of storage and compute, so you only get charged for your usage. You only pay for what you use. When we share the data downstream with business partners, we can specifically create compute for them, and we can charge back the business."
"My company wanted to have all our data in one single place and this what we use Snowflake for. Snowflake also allows us to build connectors to different data sources."
"It is a cloud solution with many useful features. It has the data science capability. It can transform data and prepare data for a data science project with scalability."
"Once you have finished your designs they can be easily imported to Snowflake and the information can be readily accessed without an IT expert."
 

Cons

"Firebolt's engine takes a long time to start because it needs to make engine calls."
"There could be better ELT tools that are appropriate for Snowflake. We decided on Matillion and it seemed to be the only one. There need to be better choices, it would be great if Snowflake provided an ELT solution that people could use. Additionally, if there was a pure cloud-based ELT tool it would be useful."
"Cost reduction is one area I would like Snowflake to improve. The product is not very cheap, and a reduction in costs would be appreciated."
"They need to incorporate some basic OLAP capabilities in the backend or at the database level. Currently, it is purely a database. They call it purely a data warehouse for the cloud. Currently, just like any database, we have to calculate all the KPIs in the front-end tools. The same KPIs again need to be calculated in Snowflake. It would be very helpful if they can include some OLAP features. This will bring efficiency because we will be able to create the KPIs within Snowflake itself and then publish them to multiple front-end tools. We won't have to recreate the same in each project. There should be the ability to automate raised queries, which is currently not possible. There should also be something for Exception Aggregation and things like that."
"They need to improve its ETL functionality so that Snowflake becomes an ETL product. Snowpipe can do some pipelines and data ingestion, but as compare to Talend, these functionalities are limited. The ETL feature is not good enough. Therefore, Snowflake can only be used as a database. You can't use it as an ETL tool, which is a limitation. We have spoken to the vendor, and they said they are working on it, but I'm not sure when they will bring it to production."
"We would like to have an on-premises deployment option that has the same features, including scalability."
"The cost efficiency and monitoring of this solution could be improved. It's easy to spend a lot on Snowflake and it does offer monitoring tools but they're pretty basic."
"The user interface continues to be an issue, especially when we need to get data out of Snowflake. It's very easy to get data in, but it's not too easy to get it out or extract it."
"An additional feature I'd like to see is called materialized views, which can speed up some run times. I'd like it to be able to be used where you can have multiple tables inside them; materialized view. That would be nice. As well as being able to run cursors, to be able to do some bulk updates and some more advanced querying, table building on the fly."
 

Pricing and Cost Advice

Information not available
"There is a license needed to use this solution. There are a few licensing options available. They have a pay-as-you-go option, but it is recommended to pay upfront."
"They give a different price for every single company. I don't know if I negotiated that well, but we got the enterprise tier for $3 a credit, and the other two were a dollar-ninety a credit. I suspect we don't have almost zero compute usage, but I know that our annual contract packages are below all of their minimums."
"Pricing can be confusing for customers."
"I have not been billed yet, but it should be less. I'm still running the trial version, but it seems to be less than Databricks."
"It is not cheap."
"We use Snowflake pretty heavily. We pay a significant amount of money for the tool. I'd say we pay $300k to $400K every year."
"Snowflake has consumption-based costs; users only pay for storage and computing."
"The pricing is economical as compared to traditional solutions like Oracle and competitive pricing."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
20%
Computer Software Company
13%
Manufacturing Company
8%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise20
Large Enterprise56
 

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.
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.
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 ...
What do you like most about Snowflake?
The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power.
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 ...
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 ...
 

Comparisons

No data available
 

Also Known As

No data available
Snowflake Computing, Snowflake Data Cloud
 

Overview

 

Sample Customers

Information Not Available
Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: August 2025.
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