"This non-relational, or NoSQL, database was targeted at use cases that were core to the Amazon ecommerce operation, such as the shopping cart and session service."
"This non-relational, or NoSQL, database was targeted at use cases that were core to the Amazon ecommerce operation, such as the shopping cart and session service."
On the topic of DynamoDB use cases, here are some of DynamoDB users describing their use cases:
- DataXu: "How DataXu scaled its System to handle billions of events with DynamoDB" -- https://youtu.be/lDiI0JMf_yQ?t=765 (from AWS re:Invent 2016)
- Lyft: “Lyft Easily Scales Up its Ride Location Tracking System with Amazon DynamoDB” -- https://www.youtube.com/watch?v=WlTbaPXj-jc. The story "AWS Helps Fuel Lyft's Expansion" in InformationWeek mentions Lyft's use of DynamoDB as well: http://www.informationweek.com/cloud/infrastructure-as-a-ser...
- Under Armour implemented cross-region replication using DynamoDB: https://youtu.be/NtaTC2Fq7Wo?t=699
- Amazon.com: Amazon Marketplace shares their story of migration to DynamoDB and why they did it: https://www.youtube.com/watch?v=gllNauRR8GM
Finally, DynamoDB was created because Amazon needed a highly reliable and scalable key/value database. As Werner Vogels said it in his blog post announcement of DynamoDB back in 2012 (http://www.allthingsdistributed.com/2012/01/amazon-dynamodb....):
"This non-relational, or NoSQL, database was targeted at use cases that were core to the Amazon ecommerce operation, such as the shopping cart and session service."