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
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Since last award
94 Plan to Renew
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Since last award
81 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
- Reliable
- Continually Improving Product
- Performance Enhancing
- Enables Productivity
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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Feature Ratings
Data Security
Distributed Processing
Data Management
Platform Administration
Workload Management and Monitoring
Analytics and Data Science Tools
Data Integration
Metadata Management
Real Time Capabilities
Analytics and Reporting
Data Visualization
Vendor Capability Ratings
Ease of Implementation
Ease of IT Administration
Quality of Features
Breadth of Features
Business Value Created
Vendor Support
Ease of Data Integration
Availability and Quality of Training
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Ease of Customization
Amazon Redshift Reviews
Isioma O.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Jan 2025
Scalable, Reliable
Likeliness to Recommend
What differentiates Amazon Redshift from other similar products?
Scalability: Redshift鈥檚 massively parallel processing (MPP) architecture allows it to scale effortlessly, handling very large datasets efficiently, while also offering flexible pricing models (on-demand or reserved instances). Performance: It delivers fast query performance by using columnar storage, data compression, and advanced query optimization techniques.
What is your favorite aspect of this product?
My favorite aspect of Amazon Redshift is its performance and scalability. The massively parallel processing (MPP) architecture allows it to handle large datasets with exceptional speed, even as data grows. This, combined with auto-scaling features and integration with other AWS services, ensures that Redshift can efficiently scale to meet the needs of businesses of all sizes, from startups to large enterprises. The ability to process complex queries quickly and at scale, without compromising performance, makes it a standout product for data warehousing.
What do you dislike most about this product?
The main drawback of Amazon Redshift is its limited native real-time streaming capabilities. While it's excellent for batch processing and querying large datasets, Redshift isn't optimized for handling real-time data ingestion natively. To achieve real-time processing, you often need to integrate it with additional services like Kinesis or Lambda, which adds complexity to the architecture and requires more configuration and maintenance.
What recommendations would you give to someone considering this product?
Here are a few recommendations for someone considering Amazon Redshift: Evaluate AWS Ecosystem Compatibility: Redshift works best if your organization is already using AWS services. If you are not deeply integrated into AWS, ensure you evaluate the ecosystem benefits and potential learning curve. Understand Your Data Use Case: Redshift excels at batch processing and large-scale data analytics. If your focus is on real-time data streaming or low-latency queries, consider whether the need for additional services like Kinesis will fit into your architecture.
Pros
- Helps Innovate
- Continually Improving Product
- Performance Enhancing
- Enables Productivity
Cons
- Vendor Friendly Policies
- Vendor's Interest First
Chizoba A.
- Role: Student Academic
- Industry: Finance
- Involvement: End User of Application
Submitted Jan 2025
Fantastic Product
Likeliness to Recommend
What differentiates Amazon Redshift from other similar products?
Seamless Integration with AWS Ecosystem
What is your favorite aspect of this product?
Massively Parallel Processing (MPP)
What do you dislike most about this product?
Not a thing
What recommendations would you give to someone considering this product?
It's a good product
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Enables Productivity
Igor L.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Jan 2025
Likeliness to Recommend
Pros
- Reliable
- Respectful
- Fair
- Acts with Integrity
Cons
- Less Efficient Service
