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
Negative
Neutral
Positive
Feature Ratings
Distributed Processing
Data Security
Workload Management and Monitoring
Platform Administration
Data Integration
Analytics and Data Science Tools
Data Management
Real Time Capabilities
Metadata Management
Analytics and Reporting
Data Visualization
Vendor Capability Ratings
Ease of Implementation
Ease of IT Administration
Vendor Support
Business Value Created
Quality of Features
Ease of Data Integration
Breadth of Features
Availability and Quality of Training
Usability and Intuitiveness
Product Strategy and Rate of Improvement
Ease of Customization
Amazon Redshift Reviews
Jaykumar K.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Scalable data warehousing with variable cost
Likeliness to Recommend
What differentiates Amazon Redshift from other similar products?
Amazon Redshift is renowned for its ability to scale effortlessly and its cost-effectiveness, enabling you to manage large datasets with pricing based on actual usage on a massively parallel processing (MPP) system.
What is your favorite aspect of this product?
Amazon Redshift excels in effortlessly managing vast datasets at scale. Its cost-effective pay-as-you-go pricing model makes it an outstanding choice for businesses dealing with the expanding realm of big data analytics.
What do you dislike most about this product?
Although Amazon Redshift is proficient in handling big data, it has limitations such as weaker real-time analytics capabilities, a learning curve for management, and potentially high costs for complex workloads.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
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uday t.
- Role: Consultant
- Industry: Consulting
- Involvement: IT Leader or Manager
Submitted Mar 2024
Fantastic product for storing bulk data
Likeliness to Recommend
What differentiates Amazon Redshift from other similar products?
Easy to implement and mpp
What is your favorite aspect of this product?
Easy to query the data
What do you dislike most about this product?
Bit slow compared to other dwh
What recommendations would you give to someone considering this product?
Everything is good
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
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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
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