The 2026-07-28 Model Context Protocol Release Candidate: What the Stateless Spec Means for Data Platforms

Lakehouse context layers bridge the gap between raw Iceberg tables and AI agents that need business meaning. Atlan and Snowflake Horizon each take different approaches to the same problem.

Lakehouse Context Layers with Atlan and Iceberg v3

Apache Iceberg v3 deletion vectors replace positional delete files with binary bitmaps in Puffin files, delivering up to 10x faster DML on Snowflake. Deep dive into architecture, benchmarks, and migration.

Apache Iceberg v3 Deletion Vectors on Snowflake

Snowflake Horizon Catalog enables bidirectional Iceberg writes from external engines like Spark and Trino, powered by Apache Polaris. Deep dive into REST Scan Plan API, governance, and Snowflake Summit 2026 announcements.

Bidirectional Iceberg Writes with Horizon Catalog

Snowflake Semantic View Autopilot automates semantic view creation from query history and BI assets. But production semantics still need human review, testing, and governance.

Semantic View Autopilot in Snowflake Semantic Studio

A comprehensive comparison of AI agent tooling across Dremio, Snowflake, Databricks, Microsoft Fabric, AWS, Google Cloud, ClickHouse, VeloDB, SpiceAI, Bauplan, and Qlik.

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