Case Study: Seismic achieves 1,000x faster cross-tenant query performance with Snowflake

Seismic Builds Analytics Platform on Snowflake and Boosts Query Performance by 1,000x

Seismic, a SaaS sales enablement company used by 700+ organizations, was struggling to deliver scalable, interactive content analytics. Its legacy architecture relied on hundreds of SQL databases and pools, causing operational overhead, slow cross-tenant queries (up to 83 minutes), non-interactive dashboards, API failures, and limited ability to deploy large-scale ML and share raw data with customers.

Seismic rebuilt its analytics platform on Snowflake, centralizing data with a multi-cluster shared architecture, secure data sharing, and Sisense-powered visualizations for embedded, customizable dashboards. The migration delivered a 1,000x improvement in cross-tenant query performance (83 minutes → 5 seconds), a 75% reduction in infrastructure maintenance, a 6x increase in ML feature deployments, and near-real-time data sharing via Snowflake Data Marketplace and Direct Share.

Seismic

Tom Strader

Vice President of Product Management