Semantic Layers in Apache Superset: SIP-182 and Apache Ossie

Inconsistent definitions of business metrics across CRMs, warehouses, BI tools, and AI agents create risks that semantic layers aim to address by defining metrics, dimensions, joins, and business rules once for consistent reuse. Apache Superset has long provided a limited semantic layer through its dataset editor, but SIP-182 proposes making external semantic layers first-class data connections rather than forcing them to masquerade as databases through fragile pseudo-SQL integrations. The new architecture introduces simplified semantic queries, semantic views, Arrow-based result handling, schema-driven connection forms, and an extension system that enables independently developed integrations for platforms such as Snowflake Semantic Views, dbt MetricFlow, and potentially others. The approach could also support portable migration between semantic layers, multiple curated layers within an organization, and more reliable AI analytics by supplying documented definitions, usage context, and examples. Supporting this direction, Open Semantic Interchange was accepted into the Apache Incubator as Apache Ossie in June 2026, offering an early vendor-neutral JSON/YAML specification for semantic models, metrics, relationships, and business ontology. Superset’s semantic-layer feature flag is available on the master branch and targeted for version 7.0, while Preset is rolling out support earlier for Snowflake and dbt MetricFlow, alongside planned caching and a modernization of Superset’s own dataset semantic layer.

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