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Microsoft Joins Apache Ossie, Four Months After Blocking Rival Data Tools From Power BI

Microsoft Joins Apache Ossie, Four Months After Blocking Rival Data Tools From Power BI

Microsoft has joined the Apache Ossie data standards organization, confirming the pivot to The Information after months of restricting rival data-management tools from connecting to Power BI. The goal is a shared definition of business metrics so AI tools can read data across Snowflake, Databricks and Microsoft ecosystems without re-copying it. AtScale's CEO called the reversal proof that the closed, proprietary path no longer works.

Microsoft has joined the Apache Ossie organization, the open-source project working to standardize how business metrics are defined across data platforms, The Information reported. A Microsoft spokesperson confirmed the company's participation — a notable reversal for a company that, four months ago, was blocking rival data-management tools from connecting to its Power BI analytics service, a policy that drew criticism from customers and partners.

The technical problem Ossie is chasing sounds mundane but costs real money: the same business metric often means different things in different departments. When finance and sales define a KPI differently, an AI agent asked to analyze revenue has to burn compute interpreting bespoke, contradictory definitions before it can say anything useful.

Standardization promises to remove that tax. Once metrics are defined once and shared, a user could manage data with Snowflake's tools and then analyze it in Power BI without re-copying anything — and AI systems processing invoices, provisioning accounts or answering finance questions would no longer waste tokens decoding each vendor's custom metric names. In a blog post published overnight, Microsoft said: "We are working with Snowflake and the broader industry to help customers define semantic business context once and reuse it across ecosystems, without duplicating data or rebuilding business logic."

The company did not explain what changed its mind. AtScale CEO Chris Lynch, whose company sits on the Ossie project and sells software that turns raw data into unified business metrics, was blunt about the strategic read: the reversal proves the closed, proprietary data-management route has failed. In his telling, the future is a heterogeneous stack where any database can connect to any large language model and any SaaS application — and vendors that wall off their analytics layer simply get routed around.

Conspicuously absent from Ossie's member list are Google and Amazon Web Services, both of which praised the project last November. Google owns its own metric-definition tool, LookML, acquired with data-analytics vendor Looker in 2020, and did not respond to a request for comment; AWS could not be reached.

The episode is a reminder that the enterprise AI battle is shifting from model quality to plumbing. Whoever owns the semantic layer — the shared vocabulary of business metrics — sits between every AI agent and every company's data. Microsoft monetizing openness through Power BI and Fabric adoption is a far better position than defending a wall that Snowflake and Databricks customers were already tunneling under, and the next test is whether Google and AWS decide that staying outside the standard costs more than joining it.

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