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Amazon

Amazon Redshift

8.7 /10

112 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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2024 Emotional Footprint Champion

Latest Award, 2024

Strategy and Innovation
Service Experience
Product Impact
Conflict Resolution

Latest Award, 2024

2024 Data Quadrant Gold Medalist

2024

8 Top Rated Capabilities

7 Top Rated Features

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.

88 Likeliness to Recommend

1
Since last award

95 Plan to Renew

2
Since last award

83 Satisfaction of Cost Relative to Value

2
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

3% Neutral

96% Positive

Pros

Performance Enhancing
Reliable
Helps Innovate
Continually Improving Product

Feature Ratings

Average 83

Data Security

Data Management

Workload Management and Monitoring

Distributed Processing

Platform Administration

Analytics and Data Science Tools

Analytics and Reporting

Data Integration

Metadata Management

Real Time Capabilities

Data Visualization

Vendor Capability Ratings

Average 82

Ease of Implementation

Business Value Created

Ease of IT Administration

Quality of Features

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

Madhu D.

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

Validated Review

Verified Reviewer

Submitted Jan 2023

Amazon Redshift: Excellent data warehouse services

Likeliness to Recommend

9 /10

What differentiates Amazon Redshift from other similar products?

Amazon Redshift uses columnar storage, advanced compression algorithms, and parallel query execution to provide fast query performance. It integrates with other AWS services such as Amazon QuickSight to provide a complete data processing solution.

What is your favorite aspect of this product?

Amazon Redshift provides multiple layers of security to protect customer data.

What do you dislike most about this product?

The process of loading large amounts of data into Amazon Redshift can be time-consuming and resource intensive.

What recommendations would you give to someone considering this product?

One needs to assess the data processing needs of their organization and ensure that Amazon Redshift is a good fit for their requirements before making the purchase.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Rushabh S.

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

Validated Review

Verified Reviewer

Submitted Jan 2023

Fantastic product! Most recommended.

Likeliness to Recommend

10 /10

What differentiates Amazon Redshift from other similar products?

Redshift is one solution for all data related stuff. either its data warehourse or data lake. Very vast querying capabilities.

What is your favorite aspect of this product?

The best part about developing on Redshift is its vast documentation. Each and every aspect is covered in documentation.

What do you dislike most about this product?

Pricing can be bit lowered. But still its competitive.

What recommendations would you give to someone considering this product?

Go for it. Its one of the best data warehouse product in market.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Giorgi S.

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

Validated Review

Verified Reviewer

Submitted Jan 2023

Easy and Good

Likeliness to Recommend

8 /10

What differentiates Amazon Redshift from other similar products?

It is very easy to use. easy setup, easy processing. you don't need to have a clear knowledge of the product.

What is your favorite aspect of this product?

you can easily see how cpu is working and is easy to use.

What do you dislike most about this product?

maybe the cost is irrelevant.

What recommendations would you give to someone considering this product?

if you have PostgreSQL databases amazon redshift is the best option.

Pros

Enables Productivity
Saves Time
Respectful
Client Friendly Policies

Cons

Less Generous

How We Deliver

Amazon Redshift

What is Amazon Redshift?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

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

88 Likeliness to Recommend

1 Since last award

95 Plan to Renew

2 Since last award

83 Satisfaction of Cost Relative to Value

2 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.

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

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

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.

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

Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting and easy data extraction for data analysis.

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.

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.

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.

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.

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

Madhu D.

Amazon Redshift: Excellent data warehouse services

Likeliness to Recommend

Pros

Rushabh S.

Fantastic product! Most recommended.

Likeliness to Recommend

Pros

Giorgi S.

Easy and Good

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

Title

1
Since last award

2
Since last award

2
Since last award

Feature Ratings

Data Security

Data Management

Workload Management and Monitoring

Distributed Processing

Platform Administration

Analytics and Data Science Tools

Analytics and Reporting

Data Integration

Metadata Management

Real Time Capabilities

Data Visualization

Vendor Capability Ratings

Ease of Implementation

Business Value Created

Ease of IT Administration

Quality of Features

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