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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Apache Ossie aims to make business definitions—such as metrics, fields and relationships—easier to exchange between analytics and AI platforms. Microsoft has affirmed its commitment to the project. Google’s participation is less concrete: a CIO report dated October 1, 2026, said Google was in the process of joining but had not detailed its plans or contributions. The potential is greater semantic portability, not a guarantee that models, calculations or permissions will work identically everywhere.
What Apache Ossie is designed to do
Ossie is a community-led effort to define a vendor-neutral way for tools to exchange semantic metadata: the business meaning layered over data. Its specification represents elements such as datasets, fields, relationships, metrics and AI context in JSON and YAML. The intended workflow is for compatible tools to read and write a common specification, helping organizations reuse business definitions across platforms.
That makes Ossie an interchange format for semantic definitions, not a general-purpose format for moving the underlying data. A shared description of what a metric means can travel separately from the data it describes.
What Microsoft and Snowflake have described
Microsoft and Snowflake have outlined a particular integration scenario: convert an Ossie document into both a Snowflake Semantic View and a Power BI semantic model. The announcement says the shared semantic context can then be used across Snowflake and Microsoft Fabric without moving or duplicating the underlying data. It points to an Apache Ossie Microsoft Converter for this workflow.
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This is an announced scenario, not evidence that every model can already be converted without loss or that every platform supports the specification. Microsoft also says it plans to help establish DAX as an Ossie-recognized query language and advance ontology support; those are stated directions, not delivery dates.
How to interpret Google’s reported involvement
CIO reported on October 1, 2026, that Google was in the process of joining Ossie. The report did not provide details about what Google planned or had contributed. That supports describing Google as pursuing participation, but not claiming that Google has shipped Ossie support or implemented the specification in a product.
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Why portability does not guarantee identical results
A common representation can preserve model structure while leaving important behavior dependent on how each platform interprets it. Calculations, joins, null values, time logic and filters can behave differently after conversion. A model that imports successfully may therefore still produce different answers. The project is incubating, and CIO described version 0.2 as a development draft; the specification and tool coverage are still maturing.
Governance is another separate concern. CIO’s account says the cited core specification does not make row-level security, access policies or certification status first-class elements. An organization may need to configure or verify those controls independently in each destination. Do not treat a converted semantic definition as proof that access controls or approval metadata came along with it.
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What enterprise teams should check before relying on a conversion
Evaluate the source model, converter and target platform together. A useful review separates whether information is represented from whether the resulting system behaves as intended.
- Semantic coverage: Confirm that datasets, fields, relationships, metrics and any relevant AI context are represented by the specification and supported by both adapters.
- Behavioral fidelity: Compare business-critical measures and outputs in the source and destination, including joins, null handling, time calculations and filter behavior.
- Governance: Inventory row-level security, access policies and certification requirements, then confirm how each is recreated and tested in the target.
- Operational readiness: Verify that the converter and destination integration are available, supported and stable enough for the intended production use.
Test representative and edge-case queries, reconcile results with the source, and have the owners of business definitions and access controls approve the destination before using it for production decisions. Microsoft’s announcement describes a concrete conversion path, but no independent production test or benchmark in the cited reporting establishes lossless conversion across platforms.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the announcement means for Power BI and enterprise data stacks
Ossie’s promise is a shared language for describing business meaning across tools, which could reduce the need to rebuild semantic definitions separately for every analytics or AI environment. Microsoft’s own 2026 announcement says Power BI semantic models have more than 38 million monthly active users and are used by 94% of Fortune 500 companies; these are Microsoft-stated figures, not independently verified measures.
The practical significance will depend on how much of an organization’s model its tools can express through Ossie, how faithfully conversions preserve behavior, and how much governance must be configured outside the shared definition. Microsoft’s Snowflake-to-Power BI/Fabric example is a useful direction to evaluate, while Google’s reported joining process is not yet evidence of a delivered integration.
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