Case Study: Amobee achieves sub-second, flexible global ad analytics with Imply Apache Druid

A Imply Case Study

Preview of the Amobee Case Study

Amobee leapfrogs advertising competitors with Apache Druid

Amobee, a provider of end-to-end advertising campaign management for major brands, faced significant challenges in delivering fast, flexible analytics to its global customers. Their previous system, built on Apache Spark and Parquet, was costly, struggled with concurrency, and could not efficiently provide real-time insights or timezone-specific daily aggregates for international markets. This hindered their ability to compete with major industry players.

By implementing Imply's Apache Druid, Amobee built a new analytical pipeline that enabled sub-second query responses on trillions of rows of data. The solution provided a single, consistent view of their data, eliminating the need for multiple pre-aggregated tables and allowing for fluid schemas. This resulted in substantially reduced processing and storage costs, the ability to deliver reports in any local timezone, and a more competitive position in the advertising technology market. Imply's technology was the central component that enabled this transformation.


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Amobee

Jeetal Shah

Director of Engineering


Imply

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