Comparison
Microsoft Fabric vs Azure Synapse: should you move, and when?
Microsoft Fabric and Azure Synapse Analytics compared: what changed, SaaS versus PaaS, capacity pricing, OneLake, Warehouse versus dedicated SQL pools, Power BI, and how to decide when to migrate.
Hemant Walchale
· 2 min read
Azure Synapse Analytics combined SQL pools, Spark and pipelines in one workspace. Microsoft Fabric rebuilds that idea as a SaaS platform centred on OneLake and Power BI. For Synapse customers, the practical questions are what actually improves, what it costs, and when to move.
The short answer
- Plan a move to Fabric if Power BI is central, you want less infrastructure to manage, and your workloads can keep a capacity well utilized.
- Stay on Synapse for now if dedicated SQL pool workloads are stable and well tuned, and moving would add risk without near-term benefit; plan the move on your own timeline.
- Consider Databricks instead if engineering, machine learning or multi-cloud matter more than Power BI integration.
How they compare
| Azure Synapse Analytics | Microsoft Fabric | |
|---|---|---|
| Model | PaaS: you provision and size services | SaaS: one capacity shared by all workloads |
| Storage | Your ADLS Gen2 accounts, plus dedicated pool storage | OneLake (Delta format), with shortcuts to existing storage |
| SQL warehouse | Dedicated SQL pools (distribution, indexes, DWUs) | Fabric Warehouse (managed distribution, T-SQL) |
| Lake SQL | Serverless SQL pools | Lakehouse SQL analytics endpoint |
| Spark | Spark pools | Fabric Spark notebooks and job definitions |
| Pipelines | Synapse pipelines | Data Factory pipelines and Dataflow Gen2 |
| Real-time | Data Explorer pools | Real-Time Intelligence (Eventstreams, Eventhouse) |
| Power BI | Separate service | Built in, with Direct Lake mode on OneLake |
| Pricing | Per service (DWUs, data processed, Spark vCores) | Capacity units (F SKUs) |
| Direction | Supported, limited new investment | Microsoft’s main investment |
What usually decides the timing
- Contract and reservation dates for Synapse and Power BI capacity.
- Power BI pain. Refresh delays and duplicated datasets are where Fabric helps most.
- Capacity utilization. Workloads that are idle most of the day can cost more on a fixed capacity.
- T-SQL compatibility. Check dedicated pool code against Fabric Warehouse limitations early.
- Skills. Fabric reuses Synapse and Power BI skills, which lowers the cost of moving.
The short version
Fabric is Synapse’s successor and simplifies infrastructure, storage and Power BI; move when contracts, Power BI needs and capacity utilization line up, and check T-SQL compatibility first. If engineering and ML are the priority, compare Databricks too.
See the step-by-step Synapse to Microsoft Fabric and Synapse to Databricks guides, or Databricks vs Microsoft Fabric.
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