Amazon

Amazon Redshift

8.7 /10

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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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2024 Data Quadrant Gold Medalist

Latest Award, 2024

8 Top Rated Capabilities

7 Top Rated Features

Latest Award, 2024

2023 Emotional Footprint Champion

2023

Product Impact

2023

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.

89 Likeliness to Recommend

1
Since last award

97 Plan to Renew

85 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

+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

4% Neutral

95% Positive

Pros

Reliable
Performance Enhancing
Helps Innovate
Acts with Integrity

Feature Ratings

Average 84

Data Security

Workload Management and Monitoring

Data Management

Platform Administration

Distributed Processing

Analytics and Reporting

Metadata Management

Analytics and Data Science Tools

Data Integration

Real Time Capabilities

Data Visualization

Vendor Capability Ratings

Average 83

Ease of Implementation

Ease of IT Administration

Business Value Created

Quality of Features

Availability and Quality of Training

Breadth of Features

Ease of Data Integration

Vendor Support

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Customization

Amazon Redshift Reviews

Dan Y.

Role: C-Level
Industry: Retail
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Jul 2020

Not as difficult as many may think to set up!

Likeliness to Recommend

10 /10

What differentiates Amazon Redshift from other similar products?

It's very stable and well made in all aspects we have gone deeper into. I only see google BigQuery as the competitor that can hold it's own against AWS Big Data but AWS BD has an edge with it's excellent infrastruture.

What is your favorite aspect of this product?

Ease of use and setup. We did not need an engineer to set up and use it.

What do you dislike most about this product?

The UI and UX of the backend can be a bit cumbersome. The price is steep but you get what you pay for.

What recommendations would you give to someone considering this product?

Test botjh Google BigQuery and AWS Big Data and see what you prefer, they can be similar and some might like one over the other due to simple things such as UX.

Pros

Continually Improving Product
Reliable
Enables Productivity
Trustworthy

Cons

Charges for Enhancements
Less Effective Service
Less Friendly Negotiation

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

Amazon Redshift

What is Amazon Redshift?

Company Details

Need Assistance?

Awards & Recognition

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

2023 Data Quadrant Gold Medalist

2020 Emotional Footprint Champion

2020 Data Quadrant Gold Medalist

2019 Data Quadrant Gold Medalist

Amazon Redshift Ratings

89 Likeliness to Recommend

1 Since last award

97 Plan to Renew

85 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.

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

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

Platform Administration Includes back-end interface and administrative capabilities

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.

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.

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

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

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.

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.

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.

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

Dan Y.

Not as difficult as many may think to set up!

Likeliness to Recommend

Pros

Cons

Was an Easy Implementation! woot woot

Likeliness to Recommend

Pros

Cons

Most Popular Amazon Redshift Comparisons

Snowflake

Google BigQuery

Microsoft Azure Synapse Analytics

Cloudera Data Platform

SAP HANA Cloud

Oracle Exadata

1
Since last award

1
Since last award

Feature Ratings

Data Security

Workload Management and Monitoring

Data Management

Platform Administration

Distributed Processing

Analytics and Reporting

Metadata Management

Analytics and Data Science Tools

Data Integration

Real Time Capabilities

Data Visualization

Vendor Capability Ratings

Ease of Implementation

Ease of IT Administration

Business Value Created

Quality of Features

Availability and Quality of Training

Breadth of Features

Ease of Data Integration

Vendor Support

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Ease of Customization