Case Study: Daum Communications achieves real-time Big Data analytics and improved search accuracy with Pivotal Greenplum Database (Pivotal)

Using Big Data Analytics to Understand and Predict User Behavior

Daum Communications, one of Korea’s largest web portals (Daum.net, Hanmail.net, Daum Cafe), faced a challenge turning massive volumes of unstructured Hadoop and NoSQL data into real‑time business insight. Batch processing, complex NoSQL management, and heavy developer reliance slowed ad‑hoc and multidimensional queries, hindering fast decisions needed to protect its search market share.

Daum implemented Pivotal Greenplum Database (with EMC VNX unified storage) to co‑process structured and unstructured data with MPP performance and SQL‑based querying on existing x86 servers. The solution sped data loading and queries, enabled real‑time weblog and user‑behavior analysis, improved search accuracy and prediction, reduced dependence on NoSQL specialists, and lowered costs through scalable use of existing infrastructure.

Daum Communications