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. Amazon Redshift Spectrum enables you to extend the analytic power of Amazon Redshift beyond data stored on local disks in your data warehouse to query vast amounts of unstructured data in your Amazon S3 “data lake” -- without having to load or transform any data. 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.

 

NTT Docomo | Telecom
case study

FINRA | Financial Svcs
case study

Philips | Healthcare
video

Yelp | Technology
video | article

NASDAQ | Financial Svcs
video | slides

The Weather Company | Media
case study

Civis | Technology
case study

Pinterest | Technology
video | slides

Johnson & Johnson | Healthcare
video

Hearst | Media
video

Edmunds.com | Media
video

Amgen | Healthcare
video

Foursquare | Technology
case study

Coursera | Education
case study
| article

Coinbase | Bitcoin
case study

Amazon | E-Commerce
video | slides

Etix | Entertainment
case study

Spuul | Entertainment
case study

Vivaki | Ad Tech
case study

Z2 | Gaming
case study

Neustar | Ad Tech
video | article

  SoundCloud | Technology
case study

BeachMint | E-Commerce
case study