ClickHouse Launched New Microsoft Fabric Integrations
The data analytics firm expanded its collaboration with Microsoft to streamline cloud-based infrastructure.
Updated on Sept. 29, 2026 in Data Centers
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ClickHouse has launched a native workload for Microsoft Fabric in public preview. This integration allows customers to query data directly within OneLake without needing to duplicate information.
Why it matters
The collaboration aims to provide data teams with faster and more flexible infrastructure for managing analytics and AI workloads within the Microsoft ecosystem.
The integration utilizes OneLake Table APIs to support both read and write operations for Iceberg tables. ClickHouse has also launched Bring Your Own Cloud availability in the Microsoft Marketplace to allow deployment within a user's own Azure tenant.
The players
ClickHouse
ClickHouse is a San Francisco Bay Area-based software company specializing in high-performance, open-source column-oriented database management systems.
Microsoft
Microsoft is a global technology corporation that provides the Azure cloud platform and the Fabric analytics service.
The details
The new workload integrates directly into the Fabric workload hub to enable direct query access. While read support for Iceberg tables is now generally available, write support for the format remains in public preview.
Timeline
September 29, 2026: ClickHouse announced the expansion of its Microsoft collaboration in Barcelona.
The Tech Race
This development follows a broader industry trend of consolidating analytics workflows by integrating specialized databases directly into unified cloud platforms like Microsoft Fabric. It positions ClickHouse to compete more effectively against native cloud-data providers by eliminating the need for data movement or duplication.
Users can now query data in OneLake without the overhead of moving or duplicating large datasets. This integration simplifies infrastructure management for data teams by providing direct access through the Fabric workload hub.
The takeaway
The expansion of these cloud integrations reflects an increasing demand for seamless interoperability between specialized database engines and enterprise data platforms. Organizations should evaluate whether unifying their data stack under the Fabric umbrella reduces latency for their specific analytics pipelines.
Further reading
For more on evolving infrastructure, see our latest coverage on Data Centers.
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