Benoit Dageville on data architecture
From Snowflake Summit 2026 Platform Keynote · · Snowflake Inc.
“Back in 2012, microphone and I knew that working with data was fundamentally broken and it really came down to two reasons. First, data was siloed. structured data was tried trapped in traditional data warehouses while semistructured data was relegated to Adoop systems and to make the matter worse neither could scale beyond one single cluster the moment you run out of capacity you had to spin up a separate system creating yet another silo second because data was scattered maintaining a consistent security and governance was a near impossible task. Plus, this legacy system were inherently complex, buried in endless performance knobs that requires an army of specialists to tune.”
On , Benoit Dageville, Cofounder at Snowflake, spoke about data 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.