Mr. Saravanan Prabhagaran

Unveiling Apache Iceberg Performance Insights with Athena & Presto

Abstract:

Modern data lakes demand more than just storage — they require performance, scalability, and cost efficiency without compromising flexibility. Apache Iceberg has emerged as a powerful table format for large-scale analytics, but its performance can vary dramatically depending on the execution engine. In this session, I’ll share an in-depth exploration of Apache Iceberg’s behavior across AWS Athena and Presto, backed by hands-on performance experiments and query benchmarks. We will walk through real-world workloads, uncover where each engine shines (and where it stumbles), and discuss tuning techniques that can translate directly into faster queries and reduced costs. Expect practical takeaways, performance visuals, and candid insights to help you make the right engine choice for your Iceberg-powered analytics

Profile:

With over 16 years of expertise in Big Data, Cloud, Analytics, Security and SaaS Enterprise technologies, I specialize in architecting scalable solutions, data engineering, and delivering impactful results. I’ve collaborated with industry leaders like AWS and MapR, managed diverse teams, and overseen multimillion-dollar budgets. Proficient in Java, Python, and advanced analytics tools, I bring a unique blend of technical acumen and strategic insight. My proven track record includes presenting at international conferences, teaching data analytics, and driving innovation to optimize performance and cost efficiency in complex ecosystems.