Amazon Redshift serves customers across a variety of industries and sizes, from startups to large enterprises. Customers use Amazon Redshift as a replacement for traditional data warehouse platforms to improve performance and lower costs. Customers also use Amazon Redshift in combination with Amazon Elastic MapReduce as a faster, cheaper, and fully SQL-compliant alternative to Apache Hive to analyze large data sets in big data use cases. Please click on the examples below to find out more.
The Weather Company | Media
case study
Nokia | Telecom
case study
Foursquare | Technology
case study
Coursera | Education
case study | article
Coinbase | Bitcoin
case study
Etix | Entertainment
case study
Spuul | Entertainment
case study
Vivaki | Ad Tech
case study
Z2 | Gaming
case study
Introducing Aleph, an open source analytics platform for Redshift | June 17, 2016
Building Analytics at 500px | Jun 4, 2015
National Trust banks on Amazon Redshift | Apr 2, 2015
Why we chose Redshift | Mar 27, 2015
Benchmarking two best-of-breed data warehouses | Mar 16, 2015
Prezi gains valuable time for product management | Mar 3, 2015
Yelp blog: CTEs and Window Functions: Unleashing the Power of Redshift | Jan 21, 2015
Building Out the SeatGeek Data Pipeline | Jan 20, 2015
Analytics in Redshift: The Migration Script | Dec 10, 2014
IMS Health migrates its data warehouse to Amazon Redshift | Dec 1, 2014

