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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
No ranking in other categories
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 October 2025, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.6%, up from 7.1% compared to the previous year. The mindshare of Firebolt is 0.8%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Amazon Redshift7.6%
Firebolt0.8%
Other91.6%
Cloud Data Warehouse
 

Featured Reviews

StevenLai - PeerSpot reviewer
Has supported data analysis needs but still requires improvements in support responsiveness and setup clarity
I work in the real estate industry, and the best features I appreciate about Amazon Redshift include its efficiency in managing large datasets. Amazon Redshift's security features help meet our compliance needs, and I have experience with its pricing and licensing which I find reasonable. I utilize Redshift's workload management.
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.

Quotes from Members

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

Pros

"With the tools we have, Amazon Redshift has the features to query efficiently."
"It's scalable because it's on the cloud."
"The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it."
"It allows for the storage of huge amounts of data."
"Redshift's Excel features are handy. Redshift spectrum allows you to directly query the data on an Excel sheet. Now, SQL Server also allows this, but Redshift has many more features."
"The solution is easy to set up and use."
"The most valuable feature is that the solution is fully embedded in the AWS stack."
"The most valuable feature of Amazon Redshift is its ability to handle really large sets of data."
"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

"The speed of the solution and its portability needs improvement."
"We recently moved from the DC2 cluster to the RA3 cluster, which is a different node type and we are finding some issues with the RA3 cluster regarding connection and processing. There is room for improvement in this area. We are in talks with AWS regarding the connection issues."
"We are using third-party tools to integrate Amazon Redshift, they should create their own interface on their own for it to be easily connected on the AWS itself."
"There might be some limitations from a business intelligence perspective, but nothing we can't find a workaround for."
"I rate their support seven out of ten. It's costly when you enable support. The price is high for technical support."
"In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations."
"Pricing is one of the things that it could improve. It should be more competitive."
"Amazon Redshift could improve the user interface support."
"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."
"I have heard complaints about the solution’s pricing, and thus I rate it as a five."
"BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge."
"For Amazon Redshift, we pay around INR 60,000 annually. The cost factor also depends on the number of existing customers."
"The solution is available at a mid-range price compared to other vendors."
"It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."
"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."
"It's pay per use. You can have multiple models."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
13%
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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