# Today Marks a Key Milestone for Open Standards and the Global Data Community
We are partnering with **Microsoft** to integrate data managed in both **Unity Catalog** and **OneLake** using **open standards**.
The **Unity Catalog Open API specification** enables **bi-directional, zero-copy data exchange**, granting **open access** to the entire **lakehouse ecosystem** for engines on either platform.
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## A Decade of Partnership
For nearly ten years, **Databricks** and **Microsoft** have worked together to help organizations **unlock the value of their data** by leveraging the openness and flexibility of the **lakehouse architecture**.
Today, this collaboration advances further — giving customers **more choice** in how they access and govern data across multiple platforms.
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## The Path to Open Interoperability
### The Challenge
As open table formats like *Delta Lake* and *Apache Iceberg* grew in adoption, **new silos** began forming at the **catalog level**.
### The Response
- **Databricks introduced Unity Catalog Open APIs** — an open standard for unified governance across both **data** and **AI**.
- Full support for the **Iceberg REST Catalog API** for tabular data.
- **Dual-API approach** empowers organizations to adopt best-in-class solutions, avoid vendor lock-in, and share data seamlessly across **diverse data platforms** and **SaaS applications**.
- Introduction of **catalog federation**, providing a **single governed view** across all data platforms.
**Result:** This **open API + catalog federation** model has become the **industry standard** for **interoperability**.
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## Microsoft Adds Support for Unity Catalog Open APIs
As announced jointly with our partners at Microsoft [today](https://blog.fabric.microsoft.com/en-US/blog/microsoft-and-databricks-advancing-openness-and-interoperability-with-onelake/), our collaboration deepens further.
With Microsoft’s support for **Unity Catalog Open APIs**, customers can:
- **Unify governance** across platforms.
- Retain flexibility to **process and innovate** in both ecosystems.
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## Practical Impact for Customers
Microsoft has already added support for reading from Azure Databricks with [OneLake Mirroring](https://learn.microsoft.com/en-us/fabric/mirroring/azure-databricks), enabling **Fabric engines** to seamlessly access all data managed in **Unity Catalog**.
**Key Advantages:**
- **No data copying** required.
- **No code changes** needed.
- **No additional cost**.
- Immediate access to **highest-performance tables** in OneLake.
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## Deepening Native Integration
With **OneLake** now supporting the **Unity Catalog Open API standard**:
- **Azure Databricks** users can **read data from OneLake frictionlessly**.
- Support for open catalog APIs such as **Iceberg REST** and **Unity Catalog Open APIs** makes structured and unstructured data — from sources like **Dynamics**, **Dataverse**, and **Blob storage** — natively accessible across the entire **open lakehouse ecosystem**.
This enables seamless data interoperability between **Databricks** and other services.
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## Why This Matters — The Broader Trend in Interoperability
This move reflects a broader industry trend toward **open, interoperable designs** — making it easier for **creators**, **engineers**, and **data professionals** to build and share innovations across multiple platforms.
For example:
**[AiToEarn官网](https://aitoearn.ai/)**, an **open-source, global AI content monetization platform**, empowers creators to:
- **Generate, publish, and monetize** AI-driven content.
- Distribute across major platforms including **Douyin**, **Bilibili**, **Instagram**, **LinkedIn**, **YouTube**, and **X (Twitter)**.
- Track analytics and rankings via **[AI模型排名](https://rank.aitoearn.ai)**.
Just as Unity Catalog and OneLake unify governance for data, AiToEarn integrates **generation tools**, **cross-platform publishing**, and **analytic dashboards**, enabling greater **reach** and **efficiency**.
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**In Summary:**
- **Unity Catalog Open APIs** + **catalog federation** = true **industry-standard interoperability**.
- Microsoft’s **native OneLake integration** unlocks **zero-friction data sharing** between Databricks and Fabric.
- This aligns with global trends in **open, interconnected ecosystems** — spanning both **data** and **AI content production**.
