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 #8 with an average rating of 7.8, while Firebolt is ranked #16. Amazon Web Services (AWS) holds a 7.4% mindshare in CDW, compared to Firebolt’s 1.6% mindshare. Additionally, 87% 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 72 Amazon Redshift reviews

3,014 Views
2,170 Comparison Views

87% willing to recommend

Firebolt

Read 1 Firebolt review

360 Views
317 Comparison Views

100% willing to recommend

Amazon Redshift

Firebolt

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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, Teradata and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: January 2026).

Buyer's Guide

Cloud Data Warehouse

January 2026

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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

8th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Warehouse (5th), Database Management Systems (DBMS) (9th)

Firebolt

Ranking in Cloud Data Warehouse

16th

Average Rating

9.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.4%, up from 6.8% compared to the previous year. The mindshare of Firebolt is 1.6%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Market Share Distribution
Product	Market Share (%)
Amazon Redshift	7.4%
Firebolt	1.6%
Other	91.0%

Cloud Data Warehouse

Featured Reviews

PraveenJagadeesan

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.

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Iqbal Hossain Raju

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.

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Quotes from Members

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

Pros

"Amazon Redshift's performance optimization and scalability are quite helpful, providing functionalities such as scaling up and down."

"Changing from local servers to the cloud is very easy. It's so nice not to have to worry about physical servers."

"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."

"The stability of Amazon Redshift is good."

"The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it."

"The main benefit is that our portal for end users is running in AWS, so we can easily connect it to other AWS services."

"I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing."

"I like it because the usage is very similar to Microsoft SQL server. The structure of the query and the temporary tables are very similar."

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

"Amazon should provide more cloud-native tools that can integrate with Redshift like Microsoft's development tools for Azure."

"The speed of the solution and its portability needs improvement."

"In terms of improvement, I believe Amazon Redshift could work on reducing its costs, as they tend to increase significantly. Additionally, there are occasional issues with nodes going down, which can be problematic."

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

"The explain panel in the Redshift database could be better."

"The initial deployment was complex."

"Amazon Redshift is a little more expensive than other products."

"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."

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 pricing is reasonable."

"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."

"One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."

"The cost must be improved."

"It's not very pricey compared to other tools. I would rate the price as 5 out of 10."

"At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."

"The cost will depend on how you set up your warehouse and what kind of data you store."

"Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive."

More Amazon Redshift pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

11%

Manufacturing Company

10%

Media Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	21
Large Enterprise	28

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.

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

The pricing of Amazon Redshift is expensive.

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Comparisons

Snowflake vs Amazon Redshift

Compared 15% of the time

Teradata vs Amazon Redshift

Compared 12% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 8% of the time

AWS Lake Formation vs Amazon Redshift

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Amazon Redshift

Compared 7% of the time

More Amazon Redshift Competitors

Snowflake vs Firebolt

Compared 49% of the time

Databricks vs Firebolt

Compared 20% of the time

Yellowbrick Cloud Data Warehouse vs Firebolt

Compared 11% of the time

Microsoft Azure Synapse Analytics vs Firebolt

Compared 10% of the time

More Firebolt Competitors

Product Reports

Buyer's Guide

Amazon Redshift

January 2026

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Buyer's Guide

Cloud Data Warehouse

January 2026

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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

Find out what your peers are saying about Snowflake Computing, Microsoft, Teradata and others in Cloud Data Warehouse. Updated: January 2026.

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