Case Study: Woot Cuts Data Warehouse Costs 90% with AWS Glue and Serverless AWS Data Warehousing

A AWS Glue Case Study

Preview of the Woot Case Study

Woot Cuts Data Warehouse Operating Costs 90% with a Serverless Solution on AWS

Woot, the original daily deals website, needed to replace its legacy Oracle-based data warehouse in Amazon RDS. The old setup was hard to expand, required custom pipelines for new data sources, and made querying cumbersome for employees who needed access to business data but weren’t SQL experts.

Using AWS Glue as part of a serverless AWS data warehouse architecture, Woot combined Amazon Kinesis Data Firehose, Amazon S3, AWS Lambda, Amazon Athena, and Amazon QuickSight to simplify ingestion, ETL, querying, and visualization. With AWS, Woot cut data warehouse operating costs by nearly 90%, sped up querying, enabled self-service analytics for nontechnical users, and reduced operational burden so much that its lone data engineer could even take a three-week vacation without being paged.


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Woot

Chaya Carey

Data Engineer


AWS Glue

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