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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

"This service can merge and integrate well with all databases."
"I would rate Amazon Redshift a ten on a scale of one to ten."
"The most valuable feature of Amazon Redshift is its ability to handle really large sets of data."
"For the on-premises version of Amazon Redshift, we need to start from scratch. However, with the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features."
"Redshift Spectrum is the most valuable feature."
"Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there."
"Redshift has an advantage when it comes to administration, making it easier to manage and collaborate."
"Amazon Redshift is a really powerful database system for reporting and data warehousing."
"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

"Amazon Redshift is a little more expensive than other products."
"Amazon Redshift could improve the user interface support."
"When working with third-party services requires additional integrations and configurations, which can sometimes add more cost."
"It is difficult to work with unstructured data and JSON documents."
"I would like to improve the pricing and the simplicity of using this solution."
"Query compilation time needs a lot of improvement for cases where you are generating queries dynamically."
"The high price of the product is an area of concern where improvements are required."
"The speed of the solution and its portability needs improvement."
"Firebolt's engine takes a long time to start because it needs to make engine calls."
 

Pricing and Cost Advice

"The part that I like best is that you only pay for what you are using."
"The product is cheap considering what it provides; I rate it five out of five for affordability."
"The cost is comparable to Snowflake."
"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."
"I have heard complaints about the solution’s pricing, and thus I rate it as a five."
"It's not very pricey compared to other tools. I would rate the price as 5 out of 10."
"The cost will depend on how you set up your warehouse and what kind of data you store."
"The solution is available at a mid-range price compared to other vendors."
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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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