Granulate Optimizes Intel IT Databricks Platform
Reducing operational expenses and infrastructure purchases, while improving the user experience.
After our successful, proof-of-concept (POC) testing of our on-premise platform, where we found that the Granulate software reduced 25% of memory and 44% of CPU utilization, while offering potential cost savings, we began testing in the cloud Databricks data lake.
Collaborating with our technology partner Accenture, Intel IT performed a four-week POC with the active Granulate agent in our Production and Quality Assurance (QA) environment running on the Databricks platform securely in the public cloud. The results included a 23% improvement in vCore compute consumption, a 17% increase in data throughput, and reduced CO2 emissions, aligning with the on-premises benefits we observed previously for another big data workload.