Case Study: DoubleIQ achieves faster, scalable big data analytics with Pivotal Greenplum Database

doubleIQ Helping to manage big data growth

DoubleIQ, a Melbourne-based information management company, needed to extend its data warehousing and analytics capabilities to the cloud while coping with slow queries, time-consuming ETL processing, and massive data growth. Pivotal helped DoubleIQ build a secure, scalable hosted data warehouse and real-time analytics service for Big Data using Pivotal Greenplum Database.

With Pivotal Greenplum Database, DoubleIQ deployed a parallel-processing cluster that improved performance and simplified analytics operations. The results were significant: query speeds increased by 2 to 3 times, ETL jobs dropped from 3 days to 3 hours, productivity improved by at least 50 percent, and the company was able to scale efficiently while maintaining staff levels.

DoubleIQ