ClickHouse Integrated With Microsoft Fabric
The collaboration enables direct querying of OneLake data via native workloads and brings cloud hosting to Azure.
Updated on Sept. 29, 2026 in Data Centers
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ClickHouse has launched a native workload for Microsoft Fabric currently in public preview, alongside the arrival of its Bring Your Own Cloud (BYOC) offering in the Microsoft Marketplace. These integrations allow over 4,000 existing ClickHouse customers to query data directly within OneLake without requiring data duplication.
Why it matters
By facilitating direct access to OneLake data, this partnership aims to provide analytics and AI teams with more flexible, performant infrastructure. The move targets the friction of moving large datasets between storage environments, streamlining data access for enterprise workloads.
ClickHouse now utilizes OneLake Table APIs to support both read and write operations for Iceberg tables, with read support currently generally available and write support in public preview. The workload integrates directly into the Fabric workload hub for direct query access.
The players
ClickHouse
A developer of high-performance column-oriented database management systems used for real-time analytics.
Microsoft
A global cloud and software provider whose Fabric platform serves as a unified analytics and data hub.
The details
The integration allows users to run ClickHouse Cloud inside their own Azure tenant through the Bring Your Own Cloud (BYOC) deployment model. By leveraging the OneLake Table APIs, the system can interact with data stored in the Iceberg format, an open table format for large-scale analytic datasets, without needing to duplicate or migrate that data into a separate environment.
Timeline
September 29, 2026: ClickHouse announced the Microsoft collaboration expansion in Barcelona.
The Tech Race
This integration follows the industry-wide push toward adopting the Apache Iceberg open table format as the standard for interoperable data storage. By aligning with Microsoft Fabric, ClickHouse is positioning its high-speed engine directly against managed database services already native to the Azure ecosystem.
Users can now deploy ClickHouse within their existing Azure infrastructure to minimize data egress and management overhead. The generally available read support for Iceberg tables is ready for production, while the write support remains in a testing phase for early adopters.
The takeaway
This integration demonstrates the shift toward decoupled storage architectures where query engines operate directly on open table formats. Keep an eye on the transition of OneLake Iceberg write support from public preview to general availability to gauge the stability of this cross-platform workflow.
Further reading
For more on evolving infrastructure, explore our Data Centers section.
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