Case Study: SpotAd achieves 50% cloud cost savings and scalable real-time mobile bidding with Qubole

Spotad Rebuilding And Optimizing Real-Time Mobile Adverting Bidding With Qubole

Spotad is a demand‑side mobile advertising platform that uses AI/ML for real‑time bidding (RTB). In 2017 the company needed to move from a managed service to a PaaS capable of near‑real‑time big‑data processing; its existing AWS EMR/Athena‑based stack couldn’t scale reliably, was costly, and lacked the partner support Spotad required.

Partnering with Qubole gave Spotad a single, cloud‑native platform that integrates Kafka, S3, Spark, Presto, Looker and more, with fast autoscaling, partition management and collaborative notebooks. The new architecture supports billions of daily bids (3–4 TB/day) with sub‑second ML bidding, cut operating costs by over 50%, simplified administration and reporting (hundreds of queries per second), and freed the team to build new APIs and pursue prescriptive marketing.

SpotAd

Tal Maizels

Chief Technology Officer