Case Study: Jobrapido achieves faster analytics and lower infrastructure costs with Looker

Matching job-seekers with employers faster with Google Cloud

Jobrapido, one of the world’s leading job aggregators, needed to scale its data infrastructure as it processed billions of job-related events across 58 countries. Its on-premises systems were causing storage limits, availability issues, and too much time spent on maintenance instead of product development.

Looker helped Jobrapido build a more scalable, cloud-based analytics environment, using BigQuery and related Google Cloud services to ingest, process, and analyze data more efficiently. The result was a dramatic improvement in performance: BI analysis time dropped from 24 hours to 30 minutes, the platform now handles over 125 million events per day, and overall infrastructure costs were reduced by around half.

Jobrapido

Stefano Fornari

VP of Engineering