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Cole Tramp's Microsoft Insights

Microsoft Experiences from the Front Line

Building Trust at Scale: Understanding Reliability in Microsoft Fabric

 

In an era where data powers decision-making, products, and customer experiences, the stakes for analytics platforms have never been higher. Enterprises need more than just performance, they need platforms that are dependable, recoverable, and built to withstand disruption. That’s why Microsoft Fabric, the unified analytics platform for modern data estates, puts reliability at its core.

As detailed in Microsoft’s official reliability guidance, Fabric’s architecture and operational model are designed to deliver continuous service, protect against failure, and ensure business continuity for mission-critical workloads. But what makes this reliability possible?

Built on a Global Foundation: The Azure Backbone

The story of Fabric’s reliability begins with its infrastructure. Microsoft Fabric is built directly on Azure’s global backbone, benefiting from the same cloud infrastructure that powers services like Microsoft 365 and Azure itself. This gives Fabric access to a geographically distributed, enterprise-grade cloud platform with redundant compute, storage, and networking capabilities across continents.

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Jun 30, 2025 2:12:36 PM
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Microsoft Fabric vs. Azure Synapse: What’s the Difference, What’s Changing, and What You Can Migrate

With the rise of Microsoft Fabric as a next-generation data platform, many organizations that currently rely on Azure Synapse Analytics are wondering how the two platforms compare and what the future holds. Are they competing products? Is Synapse being phased out? And if you're already invested in Synapse, can you migrate to Fabric?

The short answers: they're built differently, Synapse is here to stay (for now), and some migration paths do exist. Let’s explore what that means in practice.

A Tale of Two Platforms

At a high level, both Microsoft Fabric and Azure Synapse aim to solve the same fundamental challenge: helping organizations turn raw data into actionable insights. But the way they go about it is fundamentally different.

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Jun 16, 2025 10:55:21 AM
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