Case Study: ThredUp achieves faster, more reliable data pipelines with Etleap

Sustainable Clothing Rack meets Modern Data Stack ThredUp’s ETL Revamp

ThredUp, the online resale platform, needed a more robust ETL and data integration approach as its data sources expanded and AI-driven use cases became more important. To support its migration to the Databricks Data Intelligence Platform, ThredUp turned to Etleap for ETL and connector support, aiming to improve pipeline reliability, schema change handling, and data completeness.

Using Etleap, ThredUp consolidated data from systems like MongoDB, Google Ads, Criteo, TikTok Ads, and Kustomer into Databricks, helping the company move faster and build more trustworthy pipelines. The results included an estimated $100K in annual engineering savings, fewer pipeline glitches, faster marketing and customer analytics workflows, and quicker launches of initiatives like AI Search, CDP, and Resale-as-a-Service.

ThredUp

Aniket Mane

VP of Engineering