| title | Limitations in Microsoft Fabric Mirrored Databases From Azure Databricks |
|---|---|
| description | Learn about limitations for Azure Databricks mirroring in Microsoft Fabric. |
| ms.reviewer | sheppardshep, preshah |
| ms.date | 12/19/2025 |
| ms.topic | overview |
| ms.custom | references_regions |
This article lists current limitations with mirrored Azure Databricks in Microsoft Fabric.
Fabric Runtime Version needs to be at least Spark 3.4 Delta 2.4. Verify in Workspace Settings, Data Engineering/Science, Spark Settings, Environment Tab.
- Mirrored Azure Databricks item doesn't support renaming schema, table, or both when added to the inclusion or exclusion list.
- Azure Data Lake Storage Gen 2 account that is utilized by your Azure Databricks workspace must also be accessible to Fabric.
The following table types are not supported:
- Tables with RLS/CLM policies
- Lakehouse federated tables
- Delta sharing tables
- Streaming tables
- Views, Materialized views
Here's a list of regions that support mirroring for Azure Databricks Catalog:
:::row::: :::column span=""::: Americas:
- Brazil South
- Canada Central
- Canada East
- Mexico Central
- Central US
- East US
- East US2
- North Central US
- South Central US
- West US
- West US 2
- West US 3
:::column-end::: :::column span=""::: Asia Pacific:
- East Asia
- Southeast Asia
- Australia East
- Australia Southeast
- Central India
- South India
- Indonesia Central
- Japan East
- Japan West
- Korea Central
- Malaysia West
- New Zealand North
- Singapore
- Taiwan North
- Taiwan Northwest
:::column-end::: :::column span=""::: Europe, Middle East, and Africa:
- North Europe
- West Europe
- France Central
- Germany North
- Germany West Central
- Israel Central
- Italy North
- Norway East
- Norway West
- Poland Central
- Spain Central
- Sweden Central
- Switzerland North
- Switzerland West
- South Africa North
- South Africa West
- UAE North
- UK South
- UK West
:::column-end:::
:::row-end:::