Case Study: Yelp achieves real-time insights and data democratization with Splunk Enterprise

Yelp Standardizes on Splunk Enterprise Democratizesits Data to Ensure Great Customer Experience

Yelp, the platform that connects millions of consumers with local businesses, faced a major data challenge: log data was difficult for non-engineering staff to access, Elasticsearch couldn’t scale reliably for 10+ TB/day, and getting accurate answers often took weeks—creating bottlenecks for operations, product decisions, and developer visibility. Limited engineering bandwidth meant stakeholders lacked timely metrics and real-time alerts to maintain a consistent customer experience.

Yelp standardized on Splunk Enterprise after a successful POC and deployed it in days, centralizing application, database and third‑party data (including Redshift) into a single, accessible interface. Democratized dashboards and real‑time alerts gave hundreds of technical and non‑technical users immediate insights, improving website uptime, speeding feature delivery, enabling real‑time business actions (e.g., food‑order monitoring), and cutting analytics cycles from weeks to real time while saving engineering hours.

Yelp

Kris Wehner

Vice President of Engineering