Amazon Redshift offers leading price performance for diverse analytics workloads, whether dashboarding, application development, data sharing, or ETL (Extract, Transform, Load) jobs. With tens of thousands of customers running analytics on terabytes to petabytes of data, Amazon Redshift focuses on using performance telemetry from our large customer base to optimize performance for real-world customer workloads like high concurrency, low latency queries. Amazon Redshift is a self-learning, self-tuning system that delivers up to 6x better price performance than other cloud data warehouses and up to 7x better price-performance on high concurrency, low latency workloads. Keep the performance of your data workloads consistently high with Massively Parallel Processing (MPP) architecture, separation of storage and compute, Concurrency Scaling, machine learning led performance improvement techniques like short query acceleration, Auto-Materialized views, vectorized scans, Automatic Workload Manager (Auto WLM), and Automatic Table Optimization (ATO), to name a few. Access these innovations at no additional cost.
Benefits of Amazon Redshift
Scale linearly with predictable high performance
Maximize your cost savings
Self-learning, self-tuning system to enhance performance
BI and Dashboarding workloads
ETL (Extract, Transform, Load)
Real-time streaming data analytics
"Our world needs to go at least 3x faster in efficiency, electrification and decarbonization to fight climate change. At Schneider Electric, we play on both sides of the equation, leading by example in our own ecosystem while also providing solutions for our customers. Redshift is a key technology enabling us to get there, supporting thousands of users Enterprise wide, through Redshift concurrency scaling and RA3 nodes."
Aurelie Bergugnat, Chief Data Officer, Sr. Vice President, Data and Performance Management - Schneider Electric
“At RDG, data and analytics is essential to help our organization perform optimally. Business users want rapid and self-service access to data. They do not want to think about clusters and data warehouse management. Amazon Redshift’s serverless experience allows our users to be completely hands-off by managing the capacity provisioning, scaling and tuning of the data warehouse automatically, and delivering high performance for our data analyst users as well lowering our cost.”
Toby Ayre, Head of Data and Analytics - Rail Delivery Group