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Technology · Software & cloud · published 2026-10-01 · via InfoWorld

Microsoft and Google Join Open Standard Initiative to Reduce Vendor Lock-in Across Analytics Platforms

Image via InfoWorld
Image via InfoWorld

Microsoft and Google have joined a collaborative effort supporting Apache Ossie, an open specification designed to enable semantic models to move seamlessly between different data and analytics platforms without requiring separate converters. The initiative, backed by over 60 technology firms including Databricks, Oracle, Salesforce, and Snowflake, uses JSON and YAML formats to represent datasets, metrics, and AI context in a platform-agnostic way. Microsoft plans to develop two-way converters between Power BI and Ossie while advocating for expanded support of its own query languages and ontologies.

Expanded Detail

Apache Ossie addresses a persistent pain point in enterprise data management: the inability to transfer semantic models—the business logic and definitions that give raw data meaning—between platforms without extensive rework. By establishing JSON and YAML as neutral formats, the initiative creates a hub-and-spoke architecture where individual platforms need converters only to and from Ossie, rather than requiring separate connections between every vendor combination. This architectural approach substantially reduces integration complexity.

The participation of Microsoft and Google signals significant industry momentum. Microsoft's commitment to bidirectional Power BI conversion and support for DAX language inclusion demonstrates how major vendors can advance standardization while protecting their own ecosystems. Google's contributions to BigQuery dialect support reflect similar strategic alignment. The involvement of over 60 firms—from infrastructure providers like Databricks to application platforms like Salesforce—suggests broad recognition that interoperability could lower switching costs and reduce duplicative work.

Context

Ossie could materially affect enterprise IT spending and agility by reducing the engineering overhead associated with platform migrations and multi-tool analytics environments. Organizations currently spend substantial resources recreating business metrics across different systems; portable semantic models could redirect those resources toward analytics innovation. However, analysts caution that governance gaps and specification maturity remain concerns. The initiative's success ultimately depends on widespread adoption and vendor commitment to standardization rather than proprietary extensions—factors still uncertain despite major company backing.

Expanded detail and Context are AI-generated analysis; the linked article remains the authoritative source.
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This summary is Al-enhanced to contain extended analysis and broader social context. The original is {NAME); the linked article is the authoritative source. Original headline: “Microsoft, Google back Apache Ossie to make enterprise data and AI platforms more interoperable.” Browse more stories.