Microsoft OneLake Table APIs Preview: Unified Data Management Era

Most organizations have data spread across spreadsheets, business apps, and older systems, making it hard to get clear insights or automate reporting. Microsoft’s new OneLake Table APIs (Preview) bring all this data together in one place through a unified and open approach. Teams can now create, manage, and connect tables more easily across their data environment. This update simplifies data management and helps organizations move closer to AI-ready analytics within Microsoft Fabric.

Microsoft OneLake, the unified data lake built into Microsoft Fabric, continues to evolve with the introduction of OneLake Table APIs (Preview) — a powerful new way for developers and data engineers to programmatically manage and interact with their data.

Designed to eliminate silos and simplify data management, Microsoft OneLake provides a single, secure foundation for all your analytics workloads. With the new Table APIs, organizations can now integrate OneLake seamlessly into modern data and analytics pipelines — enabling automation, interoperability, and faster insights across domains.

Key Highlights of the OneLake Table APIs

Programmatic access

List and retrieve tables, schemas, and metadata in OneLake through API calls.

Open ecosystem integration

Connect easily with open-source analytics frameworks using familiar API standards.

Custom app development

Build tailored applications and services that can directly interact with OneLake tables.

Built on Open Standards – Starting with Apache Iceberg

In this preview release, Microsoft has introduced support for the Apache Iceberg REST Catalog (IRC) specification, allowing teams already using Iceberg to connect their tools and workflows to OneLake without disruption. This ensures smooth interoperability with clients like Snowflake, DuckDB, PyIceberg, and other Iceberg-compatible services.

Future updates will expand support to include Delta Lake operations, further enhancing flexibility for organizations adopting open table formats.

Why This Matters

By embracing open standards and providing developer-friendly APIs, Microsoft is reinforcing its vision of openness, flexibility, and unified analytics across the Microsoft Fabric ecosystem. Whether you’re building data pipelines, machine learning models, or custom data applications, the OneLake Table APIs simplify how you connect, manage, and govern enterprise-scale data.

This update marks a key step forward for enterprises looking to modernize their data architectures — bringing centralized, open, and secure data access under a single Microsoft Fabric environment.

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