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.
88 Likeliness to Recommend
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Since last award
95 Plan to Renew
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Since last award
83 Satisfaction of Cost Relative to Value
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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
- Helps Innovate
- Continually Improving Product
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
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
Amazon Redshift Reviews
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
Yash S.
- Role: Information Technology
- Industry: Healthcare
- Involvement: IT Leader or Manager
Submitted Dec 2023
Amazon Redshift: Solid Performance
Likeliness to Recommend
What differentiates Amazon Redshift from other similar products?
Amazon Redshift stands out from the crowd due to its robust performance and seamless integration with the broader Amazon Web Services (AWS) ecosystem. The thing is, its scalability is like no other; it effortlessly handles large datasets, and the pricing is quite competitive. What's more, the ease of use is commendable, making it friendly for both tech-savvy folks and those new to data analytics. However, there's always a scope for improvement, especially in terms of native support for diverse data types and maybe a tad more user-friendly interface. Overall, in the grand scheme of things, Amazon Redshift holds its ground, offering a powerful
What is your favorite aspect of this product?
As a data engineer, what I find most appealing about Amazon Redshift is its robust performance and seamless integration within the larger Amazon Web Services (AWS) ecosystem. The scalability is truly commendable, effortlessly handling substantial datasets with efficiency. The platform's ease of use is a significant advantage, enabling streamlined data management and analytics. Moreover, the diverse range of features, coupled with AWS's comprehensive suite, provides a holistic solution for data engineering tasks. While there's always room for enhancements, Amazon Redshift stands out as a reliable and powerful tool, making it a preferred choice
What do you dislike most about this product?
One of the aspects that can be a bit challenging with Amazon Redshift is its pricing structure, which may not be the most transparent at times. Understanding and estimating costs, especially as data scales, can be a bit intricate. Additionally, the initial setup and configuration can be a bit involved, requiring careful consideration of node types and distribution keys for optimal performance. While the platform offers robust performance, there may be moments when handling extremely complex queries could be smoother. Despite these considerations, with careful planning and understanding, Amazon Redshift remains a powerful solution for data eng
What recommendations would you give to someone considering this product?
For those considering Amazon Redshift, I would recommend thoroughly understanding your data engineering needs and assessing the scale of your projects. Take the time to plan and optimize the initial setup, considering factors like node types and distribution keys for better performance. Familiarize yourself with the pricing structure to estimate costs accurately as your data grows. Leverage AWS documentation and community forums for guidance, and consider taking advantage of available training resources to enhance your proficiency with the platform. Overall, with careful planning and continuous exploration of features,
Pros
- Reliable
- Trustworthy
- Unique Features
- Effective Service
Ravi K.
- Role: Information Technology
- Industry: Retail
- Involvement: IT Development, Integration, and Administration
Submitted Nov 2023
Easy to use, but a bit pricey.
Likeliness to Recommend
What differentiates Amazon Redshift from other similar products?
Microsoft Azure
What is your favorite aspect of this product?
Security, RDS, Lamda
What do you dislike most about this product?
Not easy to customize.
What recommendations would you give to someone considering this product?
not at this moment
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
