docs: announce planned Apache Ossie support#991
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gwenwindflower
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Jul 13, 2026
| | AI context | Descriptions, [AI hints, and verified content](/references/writing-descriptions) | | ||
| | Custom extensions | Model-level `meta` / configuration extensions | | ||
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| The overlap is close enough that Lightdash semantic models can be expressed in Ossie's format, and Ossie models authored elsewhere can be mapped onto Lightdash's model. Where the two differ today, Ossie is a portable interchange format while Lightdash is a full query engine, catalog, and UI on top of the semantic layer. |
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| - **Import** an Ossie semantic model into a Lightdash project so its datasets, relationships, dimensions, and metrics show up as queryable content, with descriptions and AI context preserved. | ||
| - **Export** a Lightdash project (whether defined via dbt or [Lightdash YAML](/guides/lightdash-yaml)) as an Ossie semantic model, so other Ossie-compatible tools and AI agents can consume the same definitions. | ||
| - **Round-trip** models between Lightdash and other Ossie-compatible tools without losing meaning, using Ossie's `custom_extensions` mechanism to carry Lightdash-specific configuration that isn't part of the core spec. | ||
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Pull this out — roll the sentence above and below into a conclusion to the last section below below the table: we plan to support it, the spec's evolving.
We need to do some research before we commit to a specific functionality.
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| - A more expressive core model — richer metric semantics, explicit grain and entity modeling, more capable relationship definitions, and reusable semantic filters. | ||
| - A standardized semantic query language and reference engine, so consumers (BI tools, AI agents, APIs) can query any Ossie-compatible semantic layer through a consistent interface. | ||
| - Catalog integration and semantic services, making Ossie models discoverable and governable at the platform layer (for example, alongside Apache Polaris). | ||
| - An ontology layer that describes business concepts independently of physical tables, enabling conceptual — not just structural — interoperability across models. | ||
| - Richer field semantics (units, currencies, PII classification, display metadata) and better tooling (validators, converters) around the spec. |
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a lot of this is repetitive, tighten this to 3 key points
| - An ontology layer that describes business concepts independently of physical tables, enabling conceptual — not just structural — interoperability across models. | ||
| - Richer field semantics (units, currencies, PII classification, display metadata) and better tooling (validators, converters) around the spec. | ||
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| We'll evolve Lightdash's Ossie support in step with these directions, prioritizing the pieces that unlock better interoperability, AI grounding, and governance for Lightdash customers. |
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Kill this sentence it adds no new info
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Adds a new page under Build your semantic layer stating that Lightdash will support Apache Ossie (Incubating), the open specification for semantic layer and ontology interchange.
guides/apache-ossie.mdxcustom_extensionsdocs.jsonRequested by Ian in Slack, followed up by Winnie.
Generated by Mintlify Agent.
Requested by: ian@lightdash.com via Slack
Mintlify session: slack_1783978780.633919_C0AM8D5UUR5