In this exclusive VMblog interview, Ben Lerner, Co-Founder and CEO of Espresso AI, discusses the company’s expansion into Databricks SQL optimization and how their “Kubernetes for data warehouses” approach is revolutionizing cloud compute efficiency.

Key Topics Covered:
🔹 Databricks SQL Launch: Espresso AI announces support for Databricks SQL, delivering 30-70% cost reductions for customers while maintaining performance
🔹 How It Works: Learn how Espresso applies Google-inspired scheduling technology (similar to Borg/Kubernetes) to dynamically optimize data warehouse workloads
🔹 Google Heritage: Ben shares insights from his team’s AI and systems work at Google and how those techniques translate to modern data warehouse optimization
🔹 Snowflake Success: Overview of Espresso’s existing Snowflake optimization platform and proven cost savings
🔹 Future Roadmap: Plans to expand into Spark management (2026) and broader cloud computing optimization

About Espresso AI:
Espresso AI uses advanced ML modeling to optimize data warehouse performance by intelligently scheduling workloads across clusters—similar to how Kubernetes manages containerized applications. The platform operates entirely on the customer side with no performance degradation.

Learn More:
Website: espresso.ai
Try a free savings analysis for Databricks SQL or Snowflake
Career opportunities for staff-level systems and ML engineers in New York
Contact: [email protected]