Microsoft and Google Back Apache Ossie’s Semantic Model Exchange
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.

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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Start freeHow this developed
2 October 2026
Microsoft and Google Back Apache Ossie’s Semantic Model Exchange
2 October 2026
Event created from source cluster.