As enterprises deploy more agents across functions and use cases, that consistency can help them scale agentic applications with greater confidence, he added.
For CIOs, however, the bigger benefit of the interoperability is the reduction in analytics-related compute costs, according to Jain.
“It is helpful particularly in multi-engine environments and agentic AI. If Redshift, Spark, Athena, and AI applications currently perform the same calculations separately, enterprises are paying for that compute multiple times. Iceberg materialized views allow Redshift to calculate once and let multiple systems reuse the result,” Jain said.
