Microsoft Fabric Updates Blog

Supporting Database Mirroring sources behind a firewall

Database mirroring is a powerful feature in Microsoft Fabric, enabling seamless data replication and high availability for critical workloads (learn more about mirroring). However, connecting to mirrored databases behind a firewall requires the right integration approach. Database Mirroring now supports firewall connectivity for Azure SQL Database, with Snowflake and Azure SQL Managed Instance coming soon, ensuring secure and efficient data movement. In this blog, we explore how to enable these connections using the On-Premises Data Gateway and the VNET Data Gateway. And this is just the beginning—every new source supported by Database Mirroring will also support these gateway options, ensuring secure connectivity across your entire data ecosystem.

Enabling firewall connectivity with On-Premises Data Gateway

For organizations that need to access mirrored databases behind on-premises firewalls, the On-Premises Data Gateway provides a secure and manageable solution. This gateway allows Fabric services to communicate with on-premises data sources without exposing them directly to the internet. By installing and configuring the gateway, you can establish encrypted data transfers while maintaining compliance and security protocols. For a step-by-step guide on setting up the On-Premises Data Gateway, refer to How to access on-premises data sources in Data Factory for Microsoft Fabric documentation.

Snowflake connection screen where you can specify the on-premises data gateway.

Leveraging VNET Data Gateway for Mirrored sources

For databases that reside behind virtual network (VNET) firewalls, the VNET Data Gateway offers a scalable alternative. This gateway enables Fabric services like Data Factory and Power BI to securely access cloud databases without requiring an on-premises infrastructure. With VNET Data Gateway, you can maintain network isolation while ensuring low-latency and high-throughput connections. To learn more about its capabilities in the VNet Data Gateway for Fabric and Power BI is now Generally Available announcement.

Azure SQL Database connection screen where you can specify the VNET Data Gateway

By leveraging these gateway solutions, organizations can confidently integrate mirrored databases behind firewalls into their Fabric ecosystem while maintaining security, compliance, and performance. Whether you’re working with Azure SQL Database, Snowflake, or Azure SQL Managed Instance, these gateways offer the flexibility and reliability needed to scale your data operations securely.

We are actively working to expand firewall-protected connectivity to additional mirrored sources in Fabric, ensuring enterprise-grade security and flexibility across all supported databases. Stay tuned as we continue to broaden firewall support, making mirroring even more accessible and secure.

To learn more about all that’s new with Mirroring, be sure to check out our latest blog here – Mirroring in Fabric – What’s new.

Relaterade blogginlägg

Supporting Database Mirroring sources behind a firewall

januari 20, 2026 från Xu Jiang

The exchange of real-time data across different data platforms is becoming increasingly popular. The Cribl source (preview) is now available in Real-Time Intelligence, allowing real-time data to flow into Fabric RTI Eventstream through our collaboration with Cribl, enabling you to take full advantage of Fabric Real-Time Intelligence’s robust analytics tools for their real-time needs. Collaborating to broaden … Continue reading “Expanding Real-Time Intelligence data sources with Cribl source (Preview)”

januari 20, 2026 från Ye Xu

Copy job is the go-to solution in Microsoft Fabric Data Factory for simplified data movement, whether you’re moving data across clouds, from on-premises systems, or between services. With native support for multiple delivery styles, including bulk copy, incremental copy, and change data capture (CDC) replication, Copy job offers the flexibility to handle a wide range … Continue reading “Simplifying data movement across multiple clouds with Copy job – Enhancements on incremental copy and change data capture”