Case Study: Poshmark achieves rapid growth and real-time clickstream insights with Qubole

Poshmark Experiences Hyper Growth And Uses Qubole To Create Value For The Poshmark Community

Poshmark, a leading social‑commerce marketplace, was facing rapid, network-driven growth and needed real‑time insight from massive clickstream and marketplace activity. Their existing AWS Redshift warehouse couldn’t ingest high‑frequency data at scale, so in 2014 Poshmark adopted Qubole as its cloud‑native big‑data platform to handle ingestion and analytics.

Qubole enabled granular ETL pipelines from S3 and made activity data accessible to data scientists and business users via the Qubole console, Redshift, and Looker, accelerating analytics and ML development. As a result, Poshmark’s team built data products (including a people‑matching algorithm) that boosted engagement across millions of users, helped scale the marketplace to tens of millions of shoppers, and saved up to a year in time to value while positioning the company to expand machine‑learning investments.

Poshmark

Barkha Saxena

VP, Data Science & Analytics