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.
86 Likeliness to Recommend
95 Plan to Renew
81 Satisfaction of Cost Relative to Value
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
- Reliable
- Performance Enhancing
- Enables Productivity
- Trustworthy
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
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Neutral
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Feature Ratings
Distributed Processing
Data Security
Workload Management and Monitoring
Data Integration
Data Management
Platform Administration
Analytics and Data Science Tools
Real Time Capabilities
Analytics and Reporting
Metadata Management
Data Visualization
Vendor Capability Ratings
Ease of Implementation
Ease of IT Administration
Vendor Support
Quality of Features
Business Value Created
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
Diego F.
- Role: Information Technology
- Industry: Manufacturing
- Involvement: End User of Application
Submitted Jul 2024
Amazing cloud data warehouse!
Likeliness to Recommend
What differentiates Amazon Redshift from other similar products?
The easy way to deploy and resize a cluster. The auto recommendations to improve performance even Redshift does changes at table level to improve performance i.e distribution type and encode.
What is your favorite aspect of this product?
Recently we starting to use ML features and it is great because you can create different types of models based just in a query and then predict in your queries. You do not need spend lot of time in development hours.
What do you dislike most about this product?
It would be nice to have the ability to resize the cluster by selecting specific characteristics such as disk size, memory, etc. and not just selecting a node type
What recommendations would you give to someone considering this product?
Amazing cloud data warehouse with bunch of features like ML and json functions. The best to use Redshift it is the possibility to integrate with the AWS ecosystem like S3 to query files directly.
Pros
- Reliable
- Enables Productivity
- Efficient Service
- Effective Service
Raghwendra S.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Leader or Manager
Submitted Jan 2024
Simple fast distrinuted compute engine
Likeliness to Recommend
What differentiates Amazon Redshift from other similar products?
For any startup or an enterprise company Amazon Redshift can give very quick start with setting up data warehouse . It is very performant from the get go , so not much expertise required. Also provide many unique features like giving query runtime, killing query in advandse with wlm rules based on joins / runtime etc
What is your favorite aspect of this product?
Ease of use with Amazon Redshift is very high. And it is very performant also . Using any other system without technical expertise will require decent amount of fine tuning and efforst and management
What do you dislike most about this product?
The concurrency can be issue , especially in organizations where very large number of queries are executed . Also it is less flexible in terms of working with the modern data formats like delta , druid etc
What recommendations would you give to someone considering this product?
If you lack technical expertise or a big team of big data engineers , then using amazon redshift is one of the best decisions you can make
Pros
- Performance Enhancing
- Respectful
- Security Protects
- Continually Improving Product
Gokul V.
- Role: Information Technology
- Industry: Finance
- Involvement: IT Development, Integration, and Administration
Submitted Dec 2025
Reliable at scale but could be easier to operate
Likeliness to Recommend
What differentiates Amazon Redshift from other similar products?
Its cost-effective columnar storage and compression optimize large analytical workloads.
What is your favorite aspect of this product?
The MPP architecture delivers fast query performance for complex workloads
What do you dislike most about this product?
Concurrency handling sometimes requires manual optimization
What recommendations would you give to someone considering this product?
Test concurrency and workload management early to avoid performance bottlenecks
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
