Case Study: Okta achieves real-time analytics on 500 million events per day with Snowflake

Okta Elevates Data Analytics by Ingesting 500 Million Events per Day Into Snowflake

Okta, the identity company used by more than 9,400 organizations, was ingesting up to 500 million events per day but its legacy cloud data architecture couldn’t scale affordably. Resource contention and siloed data caused multi-hour to multi-day processing delays, slow queries, and limited access to product-usage insights for sales, marketing, and finance.

Okta migrated to Snowflake on AWS, using a multi-cluster shared data architecture with Airflow, Fivetran, Snowpipe, and Tableau to ingest 17 sources and store 15× more data at lower TCO. The move removed contention, enabled near-real-time queries and governed self-service analytics, increased analyst productivity, created a single source of truth, and helped surface upsell/renewal opportunities that have driven millions in additional revenue.

Okta

Lauren Anderson

Director, Data and Analytics