Moving from Azure Synapse to Microsoft Fabric involves bringing ingestion, data engineering, warehousing, and real-time analytics into a unified SaaS analytics platform, with OneLake as the common data foundation.
Unlike Azure Synapse, which combines multiple Azure services for reporting, Microsoft Fabric unifies analytics in one platform to reduce data movement, simplify operations, strengthen governance, and scale for future data and AI needs.
The broader context is that modern analytics platforms need to do more than move data from one place to another. They need to support:
At ProArch, we used Microsoft Fabric to simplify our Azure Synapse-based reporting architecture as our data and AI needs started grew.
The move was not about replacing a broken system. It was about:
If your reporting architecture is difficult to scale or you are still evaluating Fabric, read What Is Microsoft Fabric? A Practical Guide for Enterprises before planning your migration.
Our Azure Synapse environment supported internal project management reporting, including project financials, resource utilization, and allocation of hours.
Data from Autotask APIs, Azure DevOps, XLSX files, billing records, time entries, projects, tasks, and tickets was prepared for Power BI reporting.
Although the platform met our reporting needs, it relied on multiple Azure services for ingestion, storage, transformation, data modeling, security, and reporting. Continuous data transfer between these services increased:
Microsoft Fabric offered a more unified SaaS operating model by bringing ingestion, data engineering, warehousing, real-time analytics, and Power BI closer together.
OneLake provided a shared foundation for structured and unstructured data, helping reduce silos, unnecessary copies, and handoffs between services.
The goal was to simplify a working architecture and create a more scalable foundation for reporting, governance, data, and AI.
Our Azure Synapse environment used Synapse and related Azure services to support business reporting and operational dashboards.
The architecture followed a flow, moving data from source systems into a curated reporting layer for Power BI consumption.
This architecture efficiently supported our current business reporting needs, but moving data through different systems and formats added latency to the overall reporting cycle.
This became one of the key reasons we started looking at Microsoft Fabric as a more unified approach.
Microsoft Fabric helped ProArch modernize its reporting architecture by bringing data storage, engineering, warehousing, governance, and Power BI into one connected platform. The following capabilities reduced data movement, simplified administration, and created a more scalable foundation for reporting and AI.
The result is a more connected analytics environment with fewer moving parts, simpler administration, and a stronger foundation for AI.
Before and After: ProArch’s Reporting Architecture with Microsoft Fabric
| Area | Azure Synapse Architecture | Microsoft Fabric |
| Data storage | Data stored across ADLS, SQL, and reporting layers | OneLake provides one shared data foundation |
| Data movement | Data copied between multiple systems and stages | Fewer data copies and handoffs |
| Reporting | Power BI connected through a separate SQL layer | Power BI connects more directly within Fabric |
| Governance | Access and ownership managed across separate services | Workspace roles make access and ownership clearer |
| Operations | Multiple services to monitor, secure, and maintain | One connected environment simplifies management |
ProArch can help you evaluate your current reporting architecture, identify what to migrate, retain, or redesign, and create a practical roadmap for Microsoft Fabric.
Q: What Is the Difference Between Azure Synapse and Microsoft Fabric?
A: Azure Synapse and Microsoft Fabric can both support enterprise analytics, but they operate differently.
Q: Is Data Factory in Fabric the Same as Data Factory in Synapse?
A: It is similar in many ways, but Fabric includes enhancements such as Dataflow Gen2, which is based on Power Query and supports more integrated transformation experiences.
Q: Does OneLake Support Both Structured and Unstructured Data?
A: Yes. OneLake provides a unified storage layer that can support different data types and analytical workloads across the Fabric environment.
Q: Can Microsoft Fabric Fully Replace Azure Services?
A: Not always. Fabric consolidates many analytics capabilities, but some Azure services, such as Azure Key Vault, may still be needed depending on the architecture and security model.
Q: How Does Microsoft Fabric Handle Security and Governance?
A: Fabric uses workspace roles for access management, allowing teams to assign access based on responsibilities.
Separate BI workspaces can be created for different business domains and controlled read access can be provided for AI agents to learn from curated data without exposing unnecessary information.
Modernizing reporting architecture is less about moving to a new platform and more about simplifying how data flows through the organization.
Microsoft Fabric provides the tools to consolidate analytics workloads, but the biggest value comes from redesigning the architecture rather than recreating existing complexity.
Our own modernization reinforced that principle, and it’s the same approach we help clients apply as they evaluate or implement Microsoft Fabric.
As a Microsoft Fabric Featured Partner, ProArch is among a select group recognized by Microsoft for proven expertise in designing, implementing, and scaling Microsoft Fabric solutions.
Talk to our Microsoft Fabric experts to create a practical modernization roadmap for your data and analytics goals.