While Snowflake has been leaning on its Cortex and Native App Framework to let enterprises construct AI-powered functions and brokers nearer to ruled knowledge, Databricks has been specializing in agent workflows via Mosaic AI, emphasizing mannequin growth, orchestration, and analysis tied to its lakehouse structure, Robert Kramer, principal analyst at Moor Insights and Strategy, mentioned.
Seconding Kramer, Walter identified that Teradata’s differentiation lies in positioning Enterprise AgentStack as a vendor-agnostic execution and operations layer designed to work throughout hybrid environments, moderately than anchoring brokers tightly to a single cloud or knowledge platform.
That positioning could be attributed to Teradata’s reliance on third-party frameworks reminiscent of Karini.ai, Flowise, CrewAI, and LangGraph, which give enterprises and their builders flexibility to evolve their agent architectures over time with out being locked onto platforms from Snowflake and Databricks that are inclined to optimize for end-to-end management inside their very own environments, Walter added.
