Case Study: NetApp achieves 95% faster time-to-insight with Dremio

Key results

The challenge

NetApp's ActiveIQ platform analyzes over 10 trillion data points per month, but its decade-old Hadoop/MapReduce backend of 33 mini-clusters and over 4,000 cores made queries average 45 minutes and coupled compute tightly to rapidly growing storage.

The solution

Dremio provided a phased Hadoop modernization with minimal pipeline changes, delivering a single self-service access layer over NetApp's on-prem lakehouse built on Apache Iceberg and Arrow.

The results, in context

Query runtime fell from 45 minutes to 2 minutes, a 95% faster time-to-insight. NetApp saw over 60% reduction in compute costs, over 20 times faster queries, and over 30% TCO savings, consolidating to 16 executor nodes and 3 petabytes of data.

Products used