Beyond Iceberg: How VAST DataBase Delivers 20x Faster Analytics & AI Performance

Iceberg has redefined data lakes, but is it the right choice for high-performance AI and analytics?

Apache Iceberg has emerged as a dominant solution for modern data lakes, bringing schema evolution and transaction support to object storage. However, as AI, real-time analytics, and large-scale data workloads continue to evolve, Iceberg’s limitations in high-performance analytics, transactional updates, and real-time processing become more apparent.

VAST DataBase takes a different approach. Built for performance at scale, it delivers 20x faster filtering, 60x more efficient updates and deletes, and significantly lower CPU overhead—bridging the gap between structured database performance and the flexibility of the modern data lake.

Join us for this exclusive webinar where we’ll explore Iceberg’s strengths, its limitations for high-performance workloads, and how VAST DataBase offers an alternative that accelerates AI, analytics, and real-time decision-making.

Key Takeaways

• When to Consider Iceberg and When It Falls Short – Understanding Iceberg’s strengths or data lakes and its challenges for real-time workloads

• 20x Faster Filtering Performance – How VAST optimizes high-selectivity queries

• 25% Faster TPC-DS Benchmarks – Get more out of your data warehouse workloads

• 60x Faster Updates & Deletes – Overcoming Iceberg’s object storage challenges

• 10x Lower CPU Utilization – Reducing query cost and improving efficiency

• How to Build a Modern, High-Performance Data Architecture

Register now to explore the future of AI-ready data performance.