Amazon

Amazon Redshift

Composite Score

8.7 /10

CX Score

9.0 /10

127 Reviews Write a Review

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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

15 Top Rated Capabilities

21 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

2020 Emotional Footprint Champion

2020

2020 Data Quadrant Champion

2020

2019 Data Quadrant Champion

2019

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

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 95%
Negotiation and Contract:: 84%
Conflict Resolution:: 91%
Strategy & Innovation:: 93%
Service Experience:: 92%

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.

+91 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 83

Data Security

Distributed Processing

Data Management

Workload Management and Monitoring

Analytics and Data Science Tools

Platform Administration

Data Integration

Metadata Management

Real Time Capabilities

Analytics and Reporting

Data Visualization

Vendor Capability Ratings

Average 81

Ease of IT Administration

Ease of Implementation

Quality of Features

Business Value Created

Breadth of Features

Ease of Data Integration

Vendor Support

Availability and Quality of Training

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Customization

Amazon Redshift Reviews

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

Validated Review

Anonymous Reviewer

Submitted Nov 2021

Great Product with continuous improvements

Likeliness to Recommend

9 /10

Pros

Reliable
Performance Enhancing
Enables Productivity
Unique Features

Abhishek S.

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

Validated Review

Verified Reviewer

Submitted Aug 2021

Fantastic product

Likeliness to Recommend

9 /10

What differentiates Amazon Redshift from other similar products?

Innovation

What is your favorite aspect of this product?

Ease of use

What do you dislike most about this product?

Not applicable

What recommendations would you give to someone considering this product?

Excellent product

Pros

Helps Innovate
Continually Improving Product
Unique Features
Efficient Service

Felicia B.

Role: Industry Specific Role
Industry: Other
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jun 2021

Data management platform

Likeliness to Recommend

9 /10

What differentiates Amazon Redshift from other similar products?

No other effective and powerful product in data management I have experienced as Amazon Web Services Big Data.

What is your favorite aspect of this product?

It can manage data under any capacity. It has large storage capacity that can sustain large amount of data in the clouds. It supports data in applications that uses handle large data capacities.

What do you dislike most about this product?

I have not experienced any challenge from the performance of this product.

What recommendations would you give to someone considering this product?

I totally recommend this product to any organization for effective data management.

Pros

Performance Enhancing
Efficient Service
Inspires Innovation
Saves Time

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

2020 Emotional Footprint Champion

2020 Data Quadrant Champion

2019 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

Emotional Footprint Overview

+91 Net Emotional Footprint

How much do users love Amazon Redshift?

Chart

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.

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

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

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

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.

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.

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.

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.

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

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.

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

Great Product with continuous improvements

Likeliness to Recommend

Pros

Abhishek S.

Fantastic product

Likeliness to Recommend

Pros

Felicia B.

Data management platform

Likeliness to Recommend

Pros

Most Popular Amazon Redshift Comparisons

Snowflake

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Cloudera Data Platform

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Oracle Exadata

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Feature Ratings

Data Security

Distributed Processing

Data Management

Workload Management and Monitoring

Analytics and Data Science Tools

Platform Administration

Data Integration

Metadata Management

Real Time Capabilities

Analytics and Reporting

Data Visualization

Vendor Capability Ratings

Ease of IT Administration

Ease of Implementation

Quality of Features

Business Value Created

Breadth of Features

Ease of Data Integration

Vendor Support

Availability and Quality of Training

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Customization