Benoit Dageville on Snowflake architecture
From Snowflake Summit 2026 Platform Keynote · · Snowflake Inc.
“With Snowflake, we set out to fix this by creating one fully go platform built on three foundational um principles. First, all data. We engineer a system that could seamlessly equate structured and semistructured data together, effectively unifying data warehouse and big data system with unprecedented performance at multipetabyte scale. Next, all compute. By pioneering a revolutionary architecture that decouples compute from storage, we completely eliminated workload interference and redefined the economics. And the math is simple. Basically, scaling your compute by say 10x delivers nearlinear performance gains without increasing the cost. And finally, all users. We deliver a zero maintenance, fully managed service that simply works for everyone.”
On , Benoit Dageville, Cofounder at Snowflake, spoke about Snowflake architecture during Snowflake Summit 2026 Platform Keynote on Snowflake Inc..
About Benoit Dageville
At the Snowflake Summit 2026 Platform Keynote on June 2, 2026, Snowflake co-founder Benoit Dageville discussed the company's architectural vision and recent product developments. Dageville stated that in 2012 he and co-founder Thierry Cruanes identified two fundamental problems with data: data was siloed between traditional warehouses and Hadoop systems, and maintaining consistent security and governance was difficult due to scattered data. He said Snowflake was created to address these issues by building a platform that unifies structured and semistructured data, decouples compute from storage, and eliminates workload interference. Dageville described the current era as the "agentic enterprise," arguing that organizations need a unified architecture where AI and data live on a single integrated platform to avoid recreating silos and fracturing governance. He introduced several new capabilities, including private link support and customer-managed keys for Snowflake Postgres, a managed version of the PG Lake extension for synchronizing data from Postgres into an open lake, and Post data mirroring for low-latency table mirroring. Dageville also announced interactive workloads with interactive tables and warehouses, changes to cluster size for performance improvements, and pre-caching features. He concluded by stating that Snowflake's platform unifies AI and data to power the agentic enterprise.