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Amazon

Amazon Redshift

Composite Score

8.7 /10

CX Score

9.0 /10

136 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.

+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

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

Analytics and Data Science Tools

Data Management

Data Integration

Real Time Capabilities

Analytics and Reporting

Metadata Management

Data Visualization

Vendor Capability Ratings

Average 80

Ease of Implementation

Ease of IT Administration

Business Value Created

Vendor Support

Quality of Features

Breadth of Features

Ease of Data Integration

Availability and Quality of Training

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of Customization

Amazon Redshift Reviews

Ravi K.

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

Validated Review

Verified Reviewer

Submitted Nov 2023

Easy to use, but a bit pricey.

Likeliness to Recommend

9 /10

What differentiates Amazon Redshift from other similar products?

Microsoft Azure

What is your favorite aspect of this product?

Security, RDS, Lamda

What do you dislike most about this product?

Not easy to customize.

What recommendations would you give to someone considering this product?

not at this moment

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Diego H.

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

Validated Review

Verified Reviewer

Submitted Nov 2023

Perfect data warehouse

Likeliness to Recommend

10 /10

What differentiates Amazon Redshift from other similar products?

ML integrated functions without any additional cost. You can query S3 buckets data

What is your favorite aspect of this product?

Machine learning functions and the materialized views

What do you dislike most about this product?

The MVs have so many restrictions to do an automated refresh. More json functions

What recommendations would you give to someone considering this product?

Redshift it is a great data warehouse with multiple features like views, materialized views, store procedures, functions (you can define even Python code functions). It is ideal for business intelligence projects.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Fagbamigbe T.

Role: Operations
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jun 2025

Empowered data analytics

Likeliness to Recommend

10 /10

What differentiates Amazon Redshift from other similar products?

Ability to handle both structured and semi-structured data, along with support for machine learning models.

What is your favorite aspect of this product?

Performance at scale

What do you dislike most about this product?

Complex setup

What recommendations would you give to someone considering this product?

it is worth the try

Pros

Continually Improving Product
Reliable
Performance Enhancing
Enables Productivity

Latest Research

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

+91 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

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.

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

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.

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

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.

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.

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.

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.

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

Ravi K.

Easy to use, but a bit pricey.

Likeliness to Recommend

Pros

Diego H.

Perfect data warehouse

Likeliness to Recommend

Pros

Fagbamigbe T.

Empowered data analytics

Likeliness to Recommend

Pros

Most Popular Amazon Redshift Comparisons

Snowflake

Google BigQuery

Microsoft Azure Synapse Analytics

Cloudera Data Platform

SAP HANA Cloud

Oracle Exadata

Title

Feature Ratings

Distributed Processing

Data Security

Workload Management and Monitoring

Platform Administration

Analytics and Data Science Tools

Data Management

Data Integration

Real Time Capabilities

Analytics and Reporting

Metadata Management

Data Visualization

Vendor Capability Ratings

Ease of Implementation

Ease of IT Administration

Business Value Created

Vendor Support

Quality of Features

Breadth of Features

Ease of Data Integration

Availability and Quality of Training

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of Customization