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UpTrajectory Review

Microsoft and Google have both signed on to Apache Ossie, an open-source project incubating at the Apache Software Foundation that aims to standardize how semantic models move between data, analytics, and AI platforms. Semantic models are the layer that gives raw data business meaning: they define metrics, relationships, and calculation logic so that a 'revenue' figure means the same thing whether it is queried in Power BI, Snowflake, or Tableau. Ossie, which began as Open Semantic Interchange and entered the Apache Incubator in June, uses JSON and YAML to represent these models in a vendor-neutral format. More than 60 companies, including Databricks, Oracle, Salesforce, Nvidia, and Snowflake, are already involved. Microsoft is building a two-way converter for Power BI semantic models, and Google is in the process of formally joining the project.

For a small-business operator who has ever felt trapped in a single analytics vendor because rebuilding dashboards and metric definitions would cost too much, this is worth paying attention to. Lock-in is not just an enterprise problem. A 20-person company that has invested months defining customer-lifetime-value logic or inventory-turn calculations inside Power BI or Looker faces the same switching costs as a Fortune 500 firm, just with fewer resources to absorb them. If Ossie gains real traction, the semantic layer that encodes your business logic could become portable, meaning a migration to a cheaper or better-fitting platform would no longer require rebuilding every metric from scratch. That shifts negotiating leverage back toward the customer.

What is genuinely new here is not the idea of a universal semantic layer, which has been attempted before, but the fact that two of the largest platform vendors are actively participating rather than merely tolerating the effort. Microsoft's contribution is concrete: a bidirectional converter for Power BI and a push to have DAX, its calculation language, recognized within the spec. That is significant because DAX carries the actual business logic, not just the data schema. Google joining the Apache project adds further weight, though the details of its commitment are less specified in the announcement. We are cautiously optimistic but share the skepticism of analysts quoted in the piece: vendor support for open standards is often genuine but rarely sufficient to eliminate lock-in entirely, because each platform still has proprietary features that do not map cleanly to a shared format.

The hub-and-spoke architecture Ossie uses is the right design choice. Rather than requiring a custom converter for every possible pair of platforms, which scales terribly as the number of vendors grows, Ossie serves as a common interchange format. Each vendor builds one converter to and from Ossie, and interoperability follows. The second-order effect worth watching is how this changes the competitive dynamics among mid-tier analytics vendors. If semantic models become portable, platforms will have to compete more on performance, user experience, and price rather than on the accumulated switching costs that keep customers locked in. That is good for buyers but could compress margins for vendors who have relied on lock-in as a retention strategy.

The practical question for any operator is whether your current platform will actually implement Ossie support, and how completely. Microsoft's converter is in development, not shipping. Google's involvement is still in progress. Other vendors may support the format for import but not export, which would be a one-way door that preserves lock-in while appearing to embrace openness. Watch for which vendors commit to bidirectional converters and which ones quietly limit their support to reading Ossie files without writing them. If you are evaluating analytics tools in the next year, it is reasonable to ask vendors directly about their Ossie roadmap and to factor that into your decision, because a platform that embraces genuine portability is telling you something about how it plans to compete.

“Their support for Ossie makes it a little more likely that future analytics platforms will be interoperable, but is no guarantee that vendor lock-in will go away, analysts said.” — InfoWorld

Takeaway: Ask your analytics vendor about their Apache Ossie roadmap and bidirectional converter plans before your next contract renewal or platform migration.

Excerpt from the original — InfoWorld

Microsoft and Google are joining a project to create an open specification for exchanging semantic models across data, analytics, and AI platforms. The project already has the backing of over 60 companies including Databricks, Informatica, Mistral AI, Nvidia, Oracle, Salesforce, and Snowflake.

Their support for Ossie makes it a little more likely that future analytics platforms will be interoperable, but is no guarantee that vendor lock-in will go away, analysts said.

The project began life as Open Semantic Interchange (OSI), then became Apache Ossie when it was accepted into the Apache Incubator in June. It uses JSON and YAML to represent semantic models, including datasets, fields, relationships, metrics and AI context, making them interoperable across platforms such as Snowflake, Databricks, Tableau, ThoughtSpot and Sigma.

Ossie uses a hub-and-spoke model for …