Case Study: TubeMogul, Inc. achieves enterprise-scale, cost-efficient big-data analytics with Qubole Data Service

TubeMogul (Adobe) Delivers Big Data Insights At Enterprise Scale

TubeMogul is a video-ad platform that relied on large-scale Hadoop analytics to power ad serving, targeting, optimization and measurement across marketing, BI, machine‑learning and engineering teams. Its on‑prem cluster and Amazon EMR setup consumed significant engineering time—analysts needed scripts and cluster access to run daily queries—making it hard to give non‑engineers direct, timely access to growing volumes of log data.

By adopting Qubole Data Service (QDS) with automated cluster management, auto‑scaling and a web console, TubeMogul enabled analysts to run SQL and scheduled queries without engineering intervention. The deployment scaled to 30 enterprise users, processed twice as much data in half the time, delivered a five‑fold increase in query throughput and reduced costs by up to a third, while handling more than 15 TB of daily log data.

TubeMogul, Inc.

Adam Rose

Head of Engineering - Adobe Advertising Cloud