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Microsoft and Google Back Apache Ossie’s Semantic Model Exchange

2 OCTOBER 2026·2 MIN READ·1 SOURCE·Trusted source

Microsoft and Google are supporting Apache Ossie, an open specification designed to move semantic models across data, analytics, and AI platforms through a common, vendor-neutral format.

Microsoft and Google Back Apache Ossie’s Semantic Model Exchange

Key takeaways · 3

  • 01

    Evaluate Ossie’s coverage of datasets, relationships, metrics, and AI context against existing semantic-model requirements.

  • 02

    Monitor which platform vendors deliver working two-way converters rather than relying solely on stated project support.

  • 03

    Treat Ossie as an interoperability mechanism, not a guarantee that enterprise data platforms will eliminate vendor lock-in.

A Common Semantic Format

Microsoft and Google are joining Apache Ossie, a project creating an open specification for exchanging semantic models across data, analytics, and AI platforms. [1] The project has backing from more than 60 companies, including Databricks, Informatica, Mistral AI, Nvidia, Oracle, Salesforce, and Snowflake. [1]

Accepted into the Apache Incubator in June after beginning as Open Semantic Interchange, Ossie represents datasets, fields, relationships, metrics, and AI context using JSON and YAML. [1]

How Conversion Works

Ossie uses a hub-and-spoke model in which converters translate between its common semantic format and individual vendors’ implementations. [1] An enterprise could therefore move a semantic model between compatible platforms without requiring a separate point-to-point converter for every pair of vendors. [1]

Microsoft is developing a two-way converter between Power BI semantic models and Ossie, enabling Power BI context to enter the common format and Ossie models to be converted back into Power BI. [1]

What it means

Apache Ossie establishes a shared interchange point for semantic models used by platforms including Power BI, Snowflake, Databricks, Tableau, ThoughtSpot, and Sigma, rather than requiring every vendor pair to maintain a dedicated converter. Microsoft’s planned two-way Power BI converter provides a concrete implementation to watch, but analysts cited by CIO.com say industry backing makes interoperability only more likely and does not guarantee the disappearance of vendor lock-in. What the sources don't address: which other vendors will deliver production-ready two-way converters or how consistently their implementations will preserve semantic context.

A shared representation for semantic models could reduce the number of custom converters enterprises need when moving context among compatible analytics and AI platforms. Adoption alone does not remove lock-in, making the availability and fidelity of vendor-built converters the more practical measure of progress.

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How this developed

  1. 2 October 2026

    Microsoft and Google Back Apache Ossie’s Semantic Model Exchange

  2. 2 October 2026

    Event created from source cluster.

Sources

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