Comparing Iceberg Performance: Upsolver, AWS Glue, Tabular and Snowflake

Apache Iceberg is the leading open table format for building a Lakehouse architecture. With several commercial tools available for managing Iceberg tables, it’s crucial to understand their performance, efficiency and cost.

Watch this insightful webinar featuring Jason Hall, Principal Solution Architect, as he presents a benchmark comparing Upsolver, Tabular, Glue Data Catalog, and Snowflake. Discover how these platforms stack up in terms of query performance, compaction strategies, and cost efficiency.

What Topics and Criteria Will Be Compared:

• Query Performance: Review query performance improvements gained from each platform’s data optimization features. Understand configuration options and design patterns available to further tune query performance.
• Compaction Performance: Review each platform’s unique approach to Iceberg table optimization, its application to batch, streaming and CDC workloads, and potential impact to data freshness and query performance.
• Cost Efficiency: Understand the pricing model of each platform and how it changes with scale. Review the cost profile of each platform for different workloads tested.
• Compression Efficiency: Understand how compression combined with other data modeling and storage techniques reduces table size and overall costs without sacrificing query performance. 

About the presenter

• Jason Hall, serving as a Senior Solution Architect, brings over 15 years of industry experience, addressing challenges in various organizational contexts.