Case Study: Salesforce achieves 47% storage savings and 30% faster queries with Imply

Salesforce Chooses Apache Druid For Their Edge Observability Platform

Salesforce needed a way to deliver edge observability across releases and performance for more than 150,000 customers while handling massive data volumes. Using Imply’s Druid-based platform, Salesforce aimed to improve interactive analytics, manage ingestion tasks more easily, and support a highly scalable architecture.

With Imply, Salesforce ingests 5 billion events per day, pre-aggregates data for flexible analysis, and queries information more effectively. The result was a 47% reduction in storage footprint and about a 30% improvement in query performance, giving teams better visibility into release comparisons and system performance.

Salesforce

Dun Lu

Lead Software Engineer