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
Wisdom E.
- Role: Information Technology
- Industry: Engineering
- Involvement: End User of Application
Submitted Dec 2024
Deep AWS integration, not multi-cloud.
Likeliness to Recommend
What differentiates Amazon Redshift from other similar products?
It excels in large-scale analytics workloads, offering features like Redshift Spectrum, concurrency scaling, and integration with AWS services, making it a standout choice from other similar products
What is your favorite aspect of this product?
Its capability in handling large-scale analytics in an AWS-centric environment.
What do you dislike most about this product?
Its limitation in handling real-time workloads
What recommendations would you give to someone considering this product?
A product with high-performance, cost-effective, and flexible data warehousing solution
Pros
- Enables Productivity
- Client's Interest First
- Appreciates Incumbent Status
- Security Protects
Rajesh k.
- Role: Consultant
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2024
Fantastic product and easy to use
Likeliness to Recommend
What differentiates Amazon Redshift from other similar products?
Easy to use and maintain
What is your favorite aspect of this product?
Easy to use and maintain, versatile features
What do you dislike most about this product?
Costing high
What recommendations would you give to someone considering this product?
Use it once for olap and oltp apps
Pros
- Reliable
- Performance Enhancing
- Trustworthy
- Unique Features
M.D.Abdul R.
- Role: Information Technology
- Industry: Consulting
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2024
Easy to use, integration with AWS, BUT costly.
Likeliness to Recommend
What differentiates Amazon Redshift from other similar products?
Integration with the AWS ecosystem provides wide variety of features for Amazon red shift to utilise the features of AWS along with the Red shift.
What is your favorite aspect of this product?
Columnar storage and massive parallel processing helps the Data Engineers to analyse and transform the data according to the user requirements in much faster way.
What do you dislike most about this product?
Cost control and limited support for Semi structured data. While Redshift can be cost-effective, users have reported difficulties in managing costs effectively when dealing with large datasets and frequent queries. Redshift charges for data storage, compute resources, and data transfer, and without proper optimization, costs can escalate quickly. Redshift is primarily designed for structured, relational data. While Redshift Spectrum allows querying semi-structured data like JSON in S3, the native handling of semi-structured data isn鈥檛 as flexible or efficient as competing products like Snowflake or Google BigQuery.
What recommendations would you give to someone considering this product?
Adding support for the semi structured data gives a great advantage for Amazon redshift whe using complex data and also cost control can be useful as the different costing for storage and querying can escalate the cost to greater extent.
Pros
- Acts with Integrity
- Helps Innovate
- Continually Improving Product
- Reliable
Cons
- Less Caring
