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# Microsoft, Google back Apache Ossie to make enterprise data and AI platforms more interoperable

**[InfoWorld](https://daily.dev/sources/infoworld)** · 6 min read · 1 upvotes · 0 comments

## Summary

Microsoft and Google are backing Apache Ossie, an open specification originally known as Open Semantic Interchange, aimed at making semantic models for data, analytics, and AI platforms portable across vendors like Snowflake, Databricks, Tableau, ThoughtSpot, and Sigma. Microsoft is building a two-way converter between Power BI and Ossie and pushing for DAX and ontology support, while Google is contributing BigQuery/GoogleSQL dialect support. Analysts say this could reduce redundant semantic engineering, metric drift, and help agentic AI applications share consistent business context, but caution that the specification is still an early incubating draft lacking governance features like row-level security and certification status. Portability doesn't guarantee equivalent behavior across platforms, especially for complex Power BI DAX logic, and new forms of vendor lock-in may emerge around proprietary execution engines and extensions even if Ossie succeeds.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.infoworld.com/article/4229785/microsoft-google-back-apache-ossie-to-make-enterprise-data-and-ai-platforms-more-interoperable-2.html>

## Questions this post answers

### What is Apache Ossie and why are Microsoft and Google supporting it?

Apache Ossie is an open specification, formerly called Open Semantic Interchange, for exchanging semantic models (datasets, fields, relationships, metrics, AI context) across data and analytics platforms using JSON and YAML. Microsoft is building a two-way Power BI converter and pushing for DAX and ontology support, while Google is contributing BigQuery/GoogleSQL dialect support, alongside over 60 backers including Databricks, Snowflake, and Salesforce.

_Teams evaluating semantic layer portability across BI tools can follow standards shifts like this one on daily.dev._

### Does moving a Power BI semantic model to another platform via Ossie guarantee the same results?

No, portability does not guarantee equivalent behavior. A metric can survive conversion syntactically but produce different results because the destination platform interprets joins, nulls, time calculations, or filters differently. This is especially relevant for Power BI, since its DAX time-intelligence functions, calculation groups, and context transitions don't map cleanly to ANSI SQL, risking lost behavior in translation.

_Anyone validating cross-platform BI migrations can track Ossie's maturing spec and gotchas on daily.dev._

### What governance features are missing from the current Apache Ossie specification?

The core specification, currently at version 0.2 and labeled a development draft, covers datasets, relationships, fields, and metrics but does not include row-level security, access policies, or certification status as first-class elements. It also removes the earlier document structure and lacks defined bundles or cross-model references, meaning enterprises must reconfigure governance separately on each platform.

_Engineers deciding whether to adopt an early-stage spec like Ossie can watch its governance gaps evolve on daily.dev._

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---

Tags: [#data-engineering](https://daily.dev/tags/data-engineering), [#google-bigquery](https://daily.dev/tags/google-bigquery), [#power-bi](https://daily.dev/tags/power-bi)

[View this post on daily.dev](https://daily.dev/posts/microsoft-google-back-apache-ossie-to-make-enterprise-data-and-ai-platforms-more-interoperable-pw4k1d8xr)

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