
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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Real user data aggregated to summarize the product performance and customer experience.
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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.
87 Likeliness to Recommend
2
Since last award
96 Plan to Renew
1
Since last award
83 Satisfaction of Cost Relative to Value
2
Since last award
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.
+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?
Pros
- Performance Enhancing
- Reliable
- Acts with Integrity
- Security Protects
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
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Feature Ratings
Data Security
Data Management
Distributed Processing
Workload Management and Monitoring
Platform Administration
Analytics and Data Science Tools
Data Integration
Metadata Management
Real Time Capabilities
Analytics and Reporting
Data Visualization
Vendor Capability Ratings
Ease of IT Administration
Business Value Created
Quality of Features
Ease of Implementation
Breadth of Features
Vendor Support
Ease of Data Integration
Product Strategy and Rate of Improvement
Availability and Quality of Training
Usability and Intuitiveness
Ease of Customization
Amazon Redshift Reviews

Jake E.
- Role: Information Technology
- Industry: Education
- Involvement: Vendor Selection and Purchasing
Submitted Aug 2020
Best big data offering i've seen
Likeliness to Recommend
What differentiates Amazon Redshift from other similar products?
Brings AWS world class leading network to the table
What is your favorite aspect of this product?
has the backing of aws we love amazon
What do you dislike most about this product?
nothing to dislike so far
What recommendations would you give to someone considering this product?
very best #1 big data package out there
Pros
- Enables Productivity
- Efficient Service
- Inspires Innovation
- Client Friendly Policies
- Role: Finance
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Aug 2020
This is the only product that I will use. EVER.
Likeliness to Recommend
Pros
- Continually Improving Product
- Reliable
- Trustworthy
- Unique Features

Dan Y.
- Role: C-Level
- Industry: Retail
- Involvement: Business Leader or Manager
Submitted Jul 2020
Not as difficult as many may think to set up!
Likeliness to Recommend
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