Apache Ossie May Standardize Semantic Layers, Shifting Competition to Query-Time Features

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Apache Ossie is an emerging open-source standard aimed at creating a common interchange format for semantic layer models, backed by major industry players. By making it easier to migrate semantic model definitions between tools, it could significantly reduce vendor lock-in that has historically tied organizations to specific platforms. With portability of configurations becoming less of a differentiator, experts argue that competition will shift toward query-time expressiveness and data discoverability. Traditional semantic layers like Looker, Cube, and Metricflow were built for repetitive, filter-driven queries by human analysts, making them less suited for AI agents that require dynamic, flexible querying. An agent-ready semantic layer, in this new landscape, would need to support on-the-fly metric composition and help agents efficiently discover relevant tables, columns, and business rules across large datasets.

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