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Amazon

Amazon Redshift

Composite Score

8.7 /10

CX Score

9.0 /10

138 Reviews Write a Review

What is Amazon Redshift?

Amazon Redshift is used to modernize data analytics workloads and deliver insights into businesses. With a fully managed, AI powered, massively parallel processing (MPP) architecture, Amazon Redshift drives business decision making quickly and cost effectively. Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver optimal performance at any scale.

Company Details

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Awards & Recognition

Amazon Redshift won the following awards in the Analytical Data Store category

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2025 Emotional Footprint Champion

Latest Award, 2025

Product Impact

Latest Award, 2025

2025 Data Quadrant Champion

2025

5 Top Rated Capabilities

7 Top Rated Features

2025

2024 Emotional Footprint Champion

2024

Strategy and Innovation
Service Experience
Product Impact
Conflict Resolution

2024

2024 Data Quadrant Champion

2024

8 Top Rated Capabilities

7 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Product Impact

2023

2023 Data Quadrant Champion

2023

4 Top Rated Capabilities

10 Top Rated Features

2023

2 Top Rated Capabilities

7 Top Rated Features

2022

Amazon Redshift Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Amazon Redshift.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

86 Likeliness to Recommend

95 Plan to Renew

81 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+92 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Amazon Redshift?

1% Negative

1% Neutral

98% Positive

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

Feature Ratings

Average 81

Distributed Processing

Data Security

Workload Management and Monitoring

Platform Administration

Data Integration

Analytics and Data Science Tools

Data Management

Real Time Capabilities

Metadata Management

Analytics and Reporting

Data Visualization

Vendor Capability Ratings

Average 79

Ease of Implementation

Ease of IT Administration

Vendor Support

Business Value Created

Quality of Features

Ease of Data Integration

Breadth of Features

Availability and Quality of Training

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of Customization

Amazon Redshift Reviews

Diego P.

Role: Information Technology
Industry: Manufacturing
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jul 2023

Great datawarehouse!

Likeliness to Recommend

10 /10

What differentiates Amazon Redshift from other similar products?

S3 native data integration, ML features, monitoring console

What is your favorite aspect of this product?

ML features

What do you dislike most about this product?

More disk means more nodes to the cluster

What recommendations would you give to someone considering this product?

Machine learning features

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

siddharth s.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jun 2023

best data warehouse service Amazon Redshift

Likeliness to Recommend

10 /10

What differentiates Amazon Redshift from other similar products?

amazon redshift having advance analytics capabilities and robust security which makes him different from other products

What is your favorite aspect of this product?

my favorite aspect about amazon redshift is its fully managed service and seamless integration with the aws ecosystem

What do you dislike most about this product?

i dislike its pricing model its costly then other vendor and its difficult to understand to new user

What recommendations would you give to someone considering this product?

i recommend this to startups who want to migrate and managed there warehouse from offline to online

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Abhiram J.

Role: Information Technology
Industry: Technology
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Apr 2023

End to end data integration, storage tool

Likeliness to Recommend

10 /10

What differentiates Amazon Redshift from other similar products?

Amazon redshift is once of best tools provided across cloud services, as it's from Amazon, it has rich GUI features.

What is your favorite aspect of this product?

Data movement, integration and store

What do you dislike most about this product?

Nothing, it has all the needed tools and features to do the data movement and analysis.

What recommendations would you give to someone considering this product?

as this tool is from Amazon who is good at cloud, I would recommend this tool to everyone

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

How We Deliver

Amazon Redshift

What is Amazon Redshift?

Company Details

Need Assistance?

Awards & Recognition

2025 Emotional Footprint Champion

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

Amazon Redshift Ratings

86 Likeliness to Recommend

95 Plan to Renew

81 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+92 Net Emotional Footprint

How much do users love Amazon Redshift?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Distributed Processing Data storage and processing is shared among many physical or virtual independents servers or sites for high volume data with seamless access to large datasets.

Data Security Includes ability to hide sensitive data by masking with special characters or anonymous information.

Workload Management and Monitoring Includes task, performance, monitoring and time management

Platform Administration Includes back-end interface and administrative capabilities

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

Analytics and Data Science Tools Includes Analytics and Data science components such as AI, statistical and machine learning libraries

Data Management Includes data sharing, data storage, records management, and data security.

Real Time Capabilities Ability to analytics and visualize data as soon as it becomes available in underline systems.

Metadata Management Easily manage metadata associated with customer data or audience segments.

Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting and easy data extraction for data analysis.

Data Visualization Thematic visualization with the ability to change views, including color, pattern/icon, dot-density, chart, scaled-symbol, and 3D prism themes

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Amazon Redshift Reviews

Diego P.

Great datawarehouse!

Likeliness to Recommend

Pros

siddharth s.

best data warehouse service Amazon Redshift

Likeliness to Recommend

Pros

Abhiram J.

End to end data integration, storage tool

Likeliness to Recommend

Pros

Most Popular Amazon Redshift Comparisons

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Oracle Exadata

Title

Feature Ratings

Distributed Processing

Data Security

Workload Management and Monitoring

Platform Administration

Data Integration

Analytics and Data Science Tools

Data Management

Real Time Capabilities

Metadata Management

Analytics and Reporting

Data Visualization

Vendor Capability Ratings

Ease of Implementation

Ease of IT Administration

Vendor Support

Business Value Created

Quality of Features

Ease of Data Integration

Breadth of Features

Availability and Quality of Training

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of Customization