Case Study: Yonder achieves rapid, scalable data exploration with Snowflake

Accelerating Data-Driven Brand Monitoring with Snowflake

Yonder, an Austin-based authentic internet solutions company, uses AI and ML to analyze cultural context across 50 million social posts per day and was struggling to explore more than 3 billion JSON records. Its legacy analytics stack relied on multiple platforms, creating synchronization and deduplication headaches, heavy database administration overhead, and painfully slow query performance that blocked data scientists and delayed insights.

Yonder migrated to Snowflake’s cloud-built data warehouse with a multi-cluster, shared-data architecture, native SQL and Python support, and near-zero management. The move cut a 30-minute query to 16 seconds, enabled contention-free exploration and self-service analytics, loads millions of records hourly in under 10 minutes, removed the need for a full-time DBA (saving about $150K/year), and delivered faster, fresher insights that improved client satisfaction.

Yonder

Chip Young

Data Architect