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Amazon Redshift vs Firebolt comparison

 

Comparison Buyer's Guide

Executive Summary

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

Amazon Redshift
Ranking in Cloud Data Warehouse
8th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
72
Ranking in other categories
Data Warehouse (5th), Database Management Systems (DBMS) (8th)
Firebolt
Ranking in Cloud Data Warehouse
16th
Average Rating
9.0
Reviews Sentiment
7.1
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.2%, up from 6.9% compared to the previous year. The mindshare of Firebolt is 1.7%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Amazon Redshift7.2%
Firebolt1.7%
Other91.1%
Cloud Data Warehouse
 

Featured Reviews

PJ
Data Analytics, Ai & Automation Lead at a venture capital & private equity firm with 10,001+ employees
Performance optimization and scaling adaptations enable efficient data management
Amazon Redshift does not work alone and requires integration with other AWS tools like S3 and Glue for a complete ecosystem. They should bring the entire ETL data management process into Amazon Redshift. Either they should move Amazon Redshift under Glue, or Glue should be brought under Amazon Redshift. The initial setup could also be improved, particularly in terms of sizing, as it requires trial and error to get right.
Iqbal Hossain Raju - PeerSpot reviewer
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It allows for the storage of huge amounts of data."
"I found the Amazon Redshift computing services easy. I found the computing instances the most incredible in the solution."
"The product offers good support for the data lake."
"This service can merge and integrate well with all databases."
"Its simplicity in configuration, cost-effectiveness due to being in the cloud and close to our data sources, and the fact that it's a managed service that is scalable and reliable are highly valuable."
"Redshift is a major service of Amazon and is very scalable. It enables faster recalculations and data management, helping to retrieve data quickly."
"With the APIs that are available, it can be easily integrated with other tools."
"Amazon Redshift's performance optimization and scalability are quite helpful, providing functionalities such as scaling up and down."
"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."
 

Cons

"AWS Snowflake has a very good feature for cloning databases. It makes it easy to clone a data warehouse, which is useful. I would like to see this feature in Redshift."
"It is difficult to work with unstructured data and JSON documents."
"The solution is unable to work fast."
"Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions."
"Improvement could be made in the area of streaming data."
"It would be good to see Redshift as a serverless offering."
"The initial deployment was complex."
"Redshift's GUI could be more user-friendly. It's easier to perform queries and all that stuff in Azure Synapse Analytics."
"Firebolt's engine takes a long time to start because it needs to make engine calls."
 

Pricing and Cost Advice

"The solution has very competitive pricing."
"The best part about this solution is the cost."
"It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."
"At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."
"It is an expensive product."
"The price of Amazon Redshift is reasonable because it depends on the usage that you use and for DWH for the long term."
"I have heard complaints about the solution’s pricing, and thus I rate it as a five."
"My customers have implementations that cost about $500 a month for a very small one. I also have a customer with a monthly invoice of about $25,000 USD."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
11%
Manufacturing Company
10%
Transportation Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise21
Large Enterprise28
No data available
 

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...
What do you like most about Amazon Redshift?
The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.
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Overview

 

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
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