Snowflake and Databricks both converged on open data standards in 2026, shipping Apache Iceberg v3 support and open catalog protocols, signaling that closed data platforms are losing ground. The argument is that agentic AI requires four things: governed context, reusable semantics, fast query access, and portability — and only open architectures deliver all four. Proprietary formats create costly migrations every time AI models change, while open formats (Iceberg, Apache Polaris, open catalogs) reduce switching costs to near zero. The piece warns against choosing platforms based on AI demo quality and instead advocates evaluating how cheaply you can change your mind — a metric where open-first architectures win by design.
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