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# ClickHouse expands collaboration with Microsoft, bringing Fabric integration, deeper OneLake interoperability, and enterprise deployment flexibility

**[ClickHouse](https://daily.dev/sources/clickhouse)** · 5 min read · 0 upvotes · 0 comments

## Summary

ClickHouse announced a deeper partnership with Microsoft featuring four capabilities: a native ClickHouse workload for Microsoft Fabric (public preview) that brings sub-second query performance to OneLake data, general availability of reading Apache Iceberg tables from OneLake, public preview of writing Iceberg tables back to OneLake, and availability of ClickHouse Bring Your Own Cloud (BYOC) in the Microsoft Marketplace for Azure customers. These moves let joint customers query and write data directly in OneLake without ETL or data duplication, and procure ClickHouse through existing Microsoft agreements counting toward Azure Consumption Commitments.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://clickhouse.com/blog/clickhouse-expands-collaboration-with-microsoft>

## Questions this post answers

### Can ClickHouse read and write Iceberg tables directly in Microsoft OneLake without copying data?

Yes. Reading Apache Iceberg tables from OneLake using OneLake Table APIs is generally available, letting ClickHouse query Iceberg tables managed in OneLake with no data duplication or ingestion step. Writing Iceberg tables back to OneLake with credential vending is in public preview, allowing results to be written as governed, open-format tables that any Fabric engine can read.

_daily.dev helps data engineers track lakehouse integration updates like ClickHouse's OneLake read and write support._

### Is there a native ClickHouse workload inside Microsoft Fabric now?

Yes, a ClickHouse workload for Microsoft Fabric is available in public preview through the Fabric workload hub. It brings the ClickHouse query engine directly into Fabric so teams can accelerate OneLake queries to sub-second response times without provisioning a separate cluster or building an ETL pipeline.

_Teams evaluating Fabric analytics engines can follow releases like this one on daily.dev._

### How can enterprises run ClickHouse Cloud on Azure while keeping full control over their data environment?

ClickHouse Bring Your Own Cloud (BYOC) is available through the Microsoft Marketplace, letting organizations run ClickHouse Cloud inside their own Azure tenant. Data never leaves the customer's environment, and IAM policies, network controls, and encryption stay under customer ownership, while ClickHouse manages provisioning, upgrades, monitoring, and scaling; purchases count toward Azure Consumption Commitments (MACC).

_daily.dev keeps enterprise architects informed on deployment options like BYOC for data residency needs._

## Similar posts on daily.dev

- [ClickHouse now writes Apache Iceberg tables to Microsoft OneLake](https://daily.dev/posts/clickhouse-now-writes-apache-iceberg-tables-to-microsoft-onelake-rt8ey7vct) · ClickHouse · 1 upvotes · 0 comments
- [ClickHouse integrates with Lakehouse Runtime Catalog](https://daily.dev/posts/clickhouse-integrates-with-lakehouse-runtime-catalog-jftljvyj2) · ClickHouse · 0 upvotes · 0 comments
- [ClickHouse and Apache Iceberg: A Practical Guide to Data Lakehouse Integration](https://daily.dev/posts/clickhouse-and-apache-iceberg-a-practical-guide-to-data-lakehouse-integration-fhwzab4sv) · BigData Boutique blog · 0 upvotes · 0 comments

---

Tags: [#azure](https://daily.dev/tags/azure), [#clickhouse](https://daily.dev/tags/clickhouse), [#apache-iceberg](https://daily.dev/tags/apache-iceberg), [#microsoft-fabric](https://daily.dev/tags/microsoft-fabric)

[View this post on daily.dev](https://daily.dev/posts/clickhouse-expands-collaboration-with-microsoft-bringing-fabric-integration-deeper-onelake-interop-bifbf9a3m)

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