Amazon Redshift Customer Reviews 2025

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Amazon Redshift

Composite Score

8.7 /10

CX Score

9.0 /10

130 Reviews

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 Data Quadrant Champion

Latest Award, 2025

5 Top Rated Capabilities

7 Top Rated Features

Latest Award, 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

1
Since last award

94 Plan to Renew

2
Since last award

81 Satisfaction of Cost Relative to Value

1
Since last award

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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

2% Neutral

97% Positive

Pros

Reliable
Continually Improving Product
Performance Enhancing
Enables Productivity

Feature Ratings

Average 82

Data Security

Distributed Processing

Data Management

Platform Administration

Workload Management and Monitoring

Analytics and Data Science Tools

Data Integration

Metadata Management

Real Time Capabilities

Analytics and Reporting

Data Visualization

Vendor Capability Ratings

Average 80

Ease of Implementation

Ease of IT Administration

Quality of Features

Breadth of Features

Business Value Created

Vendor Support

Ease of Data Integration

Availability and Quality of Training

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Customization

Amazon Redshift Reviews

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Anonymous Reviewer

Submitted Jan 2020

Was an Easy Implementation! woot woot

Likeliness to Recommend

10 /10

Pros

Performance Enhancing
Security Protects
Helps Innovate
Trustworthy

Cons

Vendor's Interest First

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Amazon Redshift

What is Amazon Redshift?

Company Details

Need Assistance?

Awards & Recognition

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

1 Since last award

94 Plan to Renew

2 Since last award

81 Satisfaction of Cost Relative to Value

1 Since last award

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

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

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

Platform Administration Includes back-end interface and administrative capabilities

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

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

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

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

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

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.

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.

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.

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.

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.

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

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.

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.

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.

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

Was an Easy Implementation! woot woot

Likeliness to Recommend

Pros

Cons

Most Popular Amazon Redshift Comparisons

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Title

1
Since last award

2
Since last award

1
Since last award

Feature Ratings

Data Security

Distributed Processing

Data Management

Platform Administration

Workload Management and Monitoring

Analytics and Data Science Tools

Data Integration

Metadata Management

Real Time Capabilities

Analytics and Reporting

Data Visualization

Vendor Capability Ratings

Ease of Implementation

Ease of IT Administration

Quality of Features

Breadth of Features

Business Value Created

Vendor Support

Ease of Data Integration

Availability and Quality of Training

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Customization