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Amazon

Amazon Redshift

Composite Score

8.7 /10

CX Score

9.0 /10

131 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

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.

+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 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

Business Value Created

Quality of Features

Breadth of Features

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

Filippo C.

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

Validated Review

Verified Reviewer

Submitted Sep 2023

One of the best cloud solutions for SQL databases!

Likeliness to Recommend

10 /10

What differentiates Amazon Redshift from other similar products?

Easiness of SQL syntax for creating and manipulating tables and absolute freedom in choosing the right schema for your tables.

What is your favorite aspect of this product?

Allows broad customization of the tables created and support an in-built optimizer, which will suggest you several ways to improve your table, by saving time and therefore money.

What do you dislike most about this product?

Nothing! Everything is highly satisfying!

What recommendations would you give to someone considering this product?

It's highly recommended for any kind of tabular data and any industry. Plus, it can be exploited successfully also by non-tech employees.

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

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

Kunal S.

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

Validated Review

Verified Reviewer

Submitted Oct 2024

Powerful and Scalable, but Costly.

Likeliness to Recommend

9 /10

What differentiates Amazon Redshift from other similar products?

What sets Amazon Redshift apart from other similar products is its ability to handle large amounts of data quickly and efficiently. It integrates well with other AWS services, making it easier to work with various data sources. Additionally, Redshift offers features like automatic scaling and advanced security options, which help businesses manage their data more effectively. Overall, its performance, scalability, and integration capabilities make it a strong choice for data warehousing.

What is your favorite aspect of this product?

My favorite aspect of Amazon Redshift is its speed and performance when processing large datasets. It allows me to run complex queries quickly, which saves a lot of time and helps us make better data-driven decisions. The seamless integration with other AWS services is also a big plus, making it easier to manage and analyze our data.

What do you dislike most about this product?

What I dislike most about Amazon Redshift is the cost. While it offers great features and performance, the pricing can add up quickly, especially as we scale and add more resources. Additionally, some users might find the setup and configuration a bit complex, which can be a hurdle for those new to data warehousing.

What recommendations would you give to someone considering this product?

I recommend thoroughly assessing your organization's data needs and usage patterns before committing to Amazon Redshift. Make sure to take advantage of the free trial to explore its features and performance. Also, consider the costs carefully, as they can escalate with increased usage. It’s important to plan for training and support for your team, as getting familiar with the platform can take some time. Overall, if you need a powerful data warehousing solution and are prepared for the investment, Redshift can be a great choice.

Pros

Security Protects
Continually Improving Product
Reliable
Enables Productivity

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

+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

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.

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.

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.

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

Filippo C.

One of the best cloud solutions for SQL databases!

Likeliness to Recommend

Pros

Fagbamigbe T.

Empowered data analytics

Likeliness to Recommend

Pros

Kunal S.

Powerful and Scalable, but Costly.

Likeliness to Recommend

Pros

Most Popular Amazon Redshift Comparisons

Snowflake

Google BigQuery

Microsoft Azure Synapse Analytics

Cloudera Data Platform

SAP HANA Cloud

Oracle Exadata

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

Business Value Created

Quality of Features

Breadth of Features

Vendor Support

Ease of Data Integration

Availability and Quality of Training

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Customization