Amazon Redshift vs Firebolt comparison

Amazon Web Services (AWS) and Firebolt are both solutions in the Cloud Data Warehouse category. Amazon Web Services (AWS) is ranked #6 with an average rating of 7.8, while Firebolt is ranked #15 with an average rating of 9.0. Amazon Web Services (AWS) holds a 7.5% mindshare in CDW, compared to Firebolt’s 0.6% mindshare. Additionally, 86% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Firebolt users who would recommend it.

Amazon Redshift

Read 71 Amazon Redshift reviews

2,815 Views
940 Comparison Views

86% willing to recommend

Firebolt

Read 1 Firebolt review

283 Views
115 Comparison Views

100% willing to recommend

Amazon Redshift

Firebolt

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon Redshift and Firebolt based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: June 2025).

Buyer's Guide

Cloud Data Warehouse

June 2025

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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

6th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Firebolt

Ranking in Cloud Data Warehouse

15th

Average Rating

9.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.5%, down from 8.0% compared to the previous year. The mindshare of Firebolt is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse

Featured Reviews

Sriram-Natesan

Tech Lead at Impetus

The ability to create a lot of views or materialized views is beneficial

Improvement in the immediate response and the process of getting into a call could be helpful. We have had to wait for at least twenty-four hours to get a call and then wait for a couple more hours for a solution. Improved connectivity to different BI tools and already published connectors for major tools in AWS could enhance the service.

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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.

Read full review

Quotes from Members

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

Pros

"The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing."

"Redshift COPY command, because much of my work involved helping customers migrate large amounts of data into Redshift."

"The most valuable feature is the scalability, as it grows according to our needs."

"Easy to build out our snowflake design and load data."

"It's very easy to migrate from other databases to Redshift. There are migration tools dedicated for this purpose, enabling migration from other databases like MS SQL directly to Redshift. The majority of the scripts will be automatically transposed."

"The valuable features are performance, data compression, and scalability."

"It is very easy to dump data into the tool."

"I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently."

More Amazon Redshift 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."

Cons

"Improvement in the immediate response and the process of getting into a call could be helpful."

"The initial setup is a complex process, especially for someone who is not familiar with nodes and configuring terms like RPUs."

"The product could be improved by making it more flexible."

"In the solution, user-based access is quite hard. In general, certain permissions are difficult to manage."

"There are physically too many pipelines for a company of this size to maintain. For a data scientist, it's very difficult to learn the data in all of these different environments."

"I rate their support seven out of ten. It's costly when you enable support. The price is high for technical support."

"Migrating data from other data sources can be challenging when you are working with multibyte character sets."

"The technical support should be better in terms of their knowledge, and they should be more customer-friendly."

More Amazon Redshift cons

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

Pricing and Cost Advice

"The best part about this solution is the cost."

"The price of Amazon Redshift is reasonable because it depends on the usage that you use and for DWH for the long term."

"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."

"This solution implements the pay-as-you-use model, so no license. Pricing could be cheaper."

"I have heard complaints about the solution’s pricing, and thus I rate it as a five."

"It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."

"The price of the solution is reasonable. According to the RA3 cluster particularly, it provides 128 GB of storage with only four nodes. If you can manage your computations processes with the help of materialized views and proper queries. I think the IP clusters are very useful and overall fair for the price."

"It is an expensive product."

More Amazon Redshift pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

35%

Financial Services Firm

12%

Computer Software Company

10%

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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...

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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.

See all answers

What is your experience regarding pricing and costs for Amazon Redshift?

The pricing of Amazon Redshift is expensive.

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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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Comparisons

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AWS Lake Formation vs Amazon Redshift

Compared 12% of the time

Snowflake vs Amazon Redshift

Compared 11% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 8% of the time

OpenText Analytics Database (Vertica) vs Amazon Redshift

Compared 7% of the time

More Amazon Redshift Competitors

Snowflake vs Firebolt

Compared 100% of the time

More Firebolt Competitors

Product Reports

Buyer's Guide

Amazon Redshift

June 2025

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Buyer's Guide

Cloud Data Warehouse

June 2025

Download Firebolt product report

Overview

Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

Amazon Redshift Functionalities

Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed.
Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

Reviews from Real Users

“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.” - Kundan A., Senior Consultant at Dynamic Elements AS

“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. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

Amazon Web Services (AWS)

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.

Firebolt

Sample Customers

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

Information Not Available

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