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  3. Amazon Redshift
Logo of Amazon Redshift

Amazon Redshift

byAmazon Web Services (AWS)
in Cloud Database Management Systems (Transitioning to Cloud Operational Database Management Systems)
4.4

Overview

Product Information on Amazon Redshift

Updated 13th October 2025

What is Amazon Redshift?

Amazon Redshift is a software that offers a fully managed data warehouse solution designed to handle large-scale data storage and query workloads. It enables users to analyze data across their data warehouse and data lake using standard SQL and integrates with a wide variety of business intelligence tools. The software supports high-performance querying and employs columnar storage, data compression, and parallel processing to increase efficiency. It addresses business challenges related to scalable data management and analytics, facilitating tasks such as reporting, dashboarding, and predictive analytics. Amazon Redshift supports both structured and semi-structured data, allowing organizations to gain insights from diverse data sources while maintaining data security and reliability through comprehensive features for monitoring, encryption, and access control.

Amazon Redshift Pricing

Amazon Redshift is a software that utilizes a pay-as-you-go pricing model based on factors such as the type and number of nodes used, data storage, and data transfer. Users can choose from on-demand or reserved instance options, with charges accruing according to usage and selected configuration.

Overall experience with Amazon Redshift

Data And Analytics Manager
50M - 250M USD, Software
FAVORABLE

“Efficient Dashboard Performance With Redshift Faces Obstacles in Usability and Permissions”

4.0
Feb 9, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Associate
3B - 10B USD, Finance (non-banking)
CRITICAL

“Simple and Fluent Experience Highlighted, While Slower Speeds Noted as Drawback”

3.0
May 11, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

About Company

Company Description

Updated 6th March 2025

Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.

Company Details

Updated 23rd December 2024
Company type
Public
Year Founded
2006
Head office location
Seattle, United States
Number of employees
10001+
Website
http://aws.amazon.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Amazon Redshift Reviews and Ratings

4.4

(554 Ratings)

Rating Distribution

5 Star
47%
4 Star
45%
3 Star
7%
2 Star
1%
1 Star
0%
Why ratings and reviews count differ?
  • Data And Analytics Manager
    50M-1B USD
    Software
    Review Source

    Efficient Dashboard Performance With Redshift Faces Obstacles in Usability and Permissions

    4.0
    Feb 9, 2026
    Although Redshift is a bit archaic and lagging in terms of configuration and technology when compared to its competitors, Redshift has always been reliable and performant.
  • Data And Analytics Manager
    50M-1B USD
    Software
    Review Source

    Efficient Dashboard Performance With Redshift Faces Obstacles in Usability and Permissions

    4.0
    Feb 9, 2026
    Although Redshift is a bit archaic and lagging in terms of configuration and technology when compared to its competitors, Redshift has always been reliable and performant.
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Amazon Redshift Likes & Dislikes

Like

1. It is a part of the AWS ecosystem. So in order to involve other AWS products, you don't have to go through APIs, oAuth credentials, or anything of the sort. The integration is much more streamlined. For example, depending on how your databases are setup, you can reference data outputs from S3 or Lambda logs easily. 2. The cost is much lower when compared to competitors and the tooling Redshift provides allows you to predict cost much easier than its competitors. 3. Since it's an analytical database, using Redshift as the source for dashboards allows for faster loading of data and running of queries. Since we do the majority of our transformations in dbt, a lot of our queries are synthesized into tables which means that we use Redshift for semantic layer transformations which is what most users are frustrated with when they refer to long loading times for dashboards. Using Redshift makes this not as much of an issue.

Like

1. It is a part of the AWS ecosystem. So in order to involve other AWS products, you don't have to go through APIs, oAuth credentials, or anything of the sort. The integration is much more streamlined. For example, depending on how your databases are setup, you can reference data outputs from S3 or Lambda logs easily. 2. The cost is much lower when compared to competitors and the tooling Redshift provides allows you to predict cost much easier than its competitors. 3. Since it's an analytical database, using Redshift as the source for dashboards allows for faster loading of data and running of queries. Since we do the majority of our transformations in dbt, a lot of our queries are synthesized into tables which means that we use Redshift for semantic layer transformations which is what most users are frustrated with when they refer to long loading times for dashboards. Using Redshift makes this not as much of an issue.

Like

1. It is a part of the AWS ecosystem. So in order to involve other AWS products, you don't have to go through APIs, oAuth credentials, or anything of the sort. The integration is much more streamlined. For example, depending on how your databases are setup, you can reference data outputs from S3 or Lambda logs easily. 2. The cost is much lower when compared to competitors and the tooling Redshift provides allows you to predict cost much easier than its competitors. 3. Since it's an analytical database, using Redshift as the source for dashboards allows for faster loading of data and running of queries. Since we do the majority of our transformations in dbt, a lot of our queries are synthesized into tables which means that we use Redshift for semantic layer transformations which is what most users are frustrated with when they refer to long loading times for dashboards. Using Redshift makes this not as much of an issue.

Dislike

Slower and unique SQL syntax required.

Dislike

Slower and unique SQL syntax required.

Dislike

Slower and unique SQL syntax required.

User Sentiment About Amazon Redshift
Reviewer Insights for: Amazon Redshift
Performance of Amazon Redshift Across Market Features
Deciding Factors: Amazon Redshift Vs. Market Average