Power BI to Microsoft Fabric: when to migrate (and when not to)

What "migration" actually means here

Migrating "from Power BI to Fabric" is a slight misnomer. Power BI is part of Fabric. Microsoft has folded it into the wider platform, meaning your workspaces, reports, and semantic models are already Fabric-compatible.

What people call "migration" is usually one (or a mix) of three different things:

• Moving Power BI Premium (P-SKU) to Fabric F-SKUs: Microsoft is folding P-SKUs into the F-SKU model. At renewal, this transition happens whether you plan it or not.

• Adding a Fabric data platform underneath your Power BI reports: OneLake as your data lake, Data Factory for pipelines, Warehouse for structured data, Copilot for AI assistance. This is where the real migration effort sits.

• Reorganizing workspaces and governance: Fabric introduces domains, capacities, and workspace roles that Pro-only Power BI users did not have to think about. So this more a re-architecture than a data migration.

For most Belgian SMEs, "migration to Fabric" means the second point: adding the data platform layer below reports that largely stay put. Understanding which of the three you actually mean is the first useful step.

Reasons NOT to migrate today

#1 Power BI is your entire data stack, and it is enough

Fabric shines when the value is in the unified data layer beneath the reports. If Power BI is where your Excel exports land and your business is happy with that, you do not need the rest of Fabric. Buying a data platform to solve a reporting problem is a common way to spend thousands of euros without changing anything users see.

#2 You are already on Databricks or Snowflake for the heavy lifting

Power BI connects to both natively. Moving to Fabric would also mean moving the platform beneath, which is a much bigger project and rarely justified by cost alone. If your team is deep on Databricks and comfortable, the migration case has to clear a very high bar.

#3 Someone else is pushing the migration

A reseller, a Microsoft account manager, a consultant with a project pipeline… "Microsoft is investing in Fabric" is true, but it is not a reason to change this quarter. Beware of migrations sold as inevitability; the people telling you it is urgent usually have a project quota behind the recommendation…

Reasons to migrate

#1 You do not have a data platform yet, and Power BI is starting to strain

This is the most common Fabric migration trigger we see in SMEs. Power BI carries a surprising amount on its own: Power Query for transformations, Dataflows for shared logic, semantic models for aggregations…

But when your organization grows beyond a few source systems, at some point the tool might tell you that the heavy lifting belongs elsewhere:

• Refresh times start creeping into hours

• Dashboards get visibly slower to load

In that context, Fabric is the answer: it gives you a proper data platform underneath (OneLake for storage, Data Factory for pipelines, Lakehouse for transformations) so Power BI can go back to what it does best, i.e. fast, business-facing reporting.

#2 You have unified data ambitions

You want one place for reporting, data engineering, ML, and AI. Fabric is designed for exactly this scenario, and it is where Microsoft is pouring investment. So if your roadmap for the next 18 months includes building a real data platform beneath your reports, Fabric is the destination.

#3 Copilot and AI use cases are on your near-term roadmap

Fabric brings native Copilot integration across the whole data stack: while Power BI alone gives you Copilot in the visualisation layer, Fabric gives you Copilot across pipelines, warehouses, and notebooks. If AI adoption is a genuine 2026 priority for your organization, Fabric changes the game more than Power BI alone can.

#4 Your Power BI Premium (P-SKU) renewal is approaching

Microsoft is folding P-SKUs into F-SKUs. At renewal, existing P-SKU customers effectively move to Fabric anyway. Better to plan the transition than to react to it, especially since the F-SKU tier gives you the whole platform, not just Power BI capacity!

#5 You have more than about 200 Power BI report viewers

At F64 and above, viewers no longer need individual Pro licences (they need only the viewer role on the workspace). Above roughly 200 viewers, the licensing savings pay for the bigger capacity. See our Microsoft Fabric pricing article for the exact break-even math.

Side note: migration is also a platform-choice moment

The moment you decide your organization needs a data platform underneath Power BI is also the moment to ask: which platform? Fabric is the obvious answer for organizations already anchored in the Microsoft ecosystem, and for most SMEs it will be the right one.

But it is not the only option:

• If your workloads are ML-heavy or your team has strong Spark and Python skills, Databricks may fit your needs better.

• If your priority is very fast SQL analytics with minimum operational overhead, Snowflake is a legitimate alternative worth pricing.

Do not let the Power BI starting point narrow the platform decision by default! Read our data platform comparison guide before committing.

What a Power BI to Fabric migration actually involves

For most SMEs, a Power BI to Fabric project involves three practical workstreams.

#1 Capacity migration

Moving from a Pro workspace or a P-SKU capacity to a Fabric F-SKU. Simple technically, mostly configuration and re-costing.

🕚 Timeline: a few days.

#2 Adding upstream data

Building the OneLake, Data Factory, and Lakehouse layers beneath the reports: this is where the real work happens, and this is the workstream that dominates the budget.

🕚 Timeline: 8 to 20 weeks depending on the number of source systems, data quality, and use case scope.

#3 Reorganizing governance

This includes setting up:

• domains,

• workspace roles,

• capacity ownership,

• monitoring through the Fabric Capacity Metrics app.

It’s a small workstream, but skipping it is one of the classic ways to overpay later and ruin your Fabric ROI.

Power BI reports themselves rarely need to be rebuilt: semantic models, DAX measures, visuals, and permissions port across. Users see no disruption, because the migration effort is upstream.

The Power BI Premium (P-SKU) situation, specifically

If you are currently on Power BI Premium (P-SKU), the migration is largely automatic:

• Since P-SKUs are being phased out in favor of F-SKUs, Microsoft moves customers to the equivalent F-SKU tier at renewal.

• The F-SKU gives you access to the full Fabric platform (not just Power BI capacity), at the equivalent tier price.

• Power BI Pro licences remain separate for anyone building or publishing reports.

• Viewers get free access at F64 and above.

The practical implication: if P-SKU renewal is on your horizon in the next 12 months, take this transition seriously. The Fabric side of the F-SKU adds meaningful new capabilities, and using it well requires design work that is worth scoping now rather than after the renewal is signed.

Bonus: a simple decision framework

Before committing to a migration project, walk through four questions:

1. If Power BI is your entire data stack today, do you encounter reliability or efficiency problems (timeouts on complex queries, dashboards slowing down…)? If yes, Power BI is telling you the heavy transformation work belongs in a real data platform underneath.

2. Do you have unified data ambitions in the next 12 to 18 months? If yes, Fabric is the right destination. Timing depends on when those ambitions become funded projects.

3. Is P-SKU renewal on your horizon? If yes, migration is happening. Plan the transition, do not react to it.

4. Do you have 200+ report viewers on Power BI Pro? If yes, run the F64 licensing arithmetic. It may already be cheaper to migrate than to renew Pro seats.

If you can honestly answer "no reason to migrate today" to all four, do not migrate. Save the budget for something that produces measurable value. If one (or more) produces a "yes," scoping a migration is worth an afternoon.

Talk to us about your Power BI to Fabric move

If you are weighing a Power BI to Fabric migration, the fastest useful step is a 30-minute conversation. We will walk through your current setup, your data ambitions, and your P-SKU renewal timing, then tell you honestly whether migrating this year makes sense.

Book a 30-minute call

Power BI to Fabric migration: FAQ

What does it cost to migrate from Power BI to Fabric?

The Power BI capacity migration itself is inexpensive: workspaces, reports, and semantic models port over without a rebuild. The real cost is the upstream data platform work. A full Fabric implementation for an SME with clear use cases can run between €60,000 and €100,000. A capacity-only migration (moving from Pro or P-SKU to F-SKU without adding the platform layer) costs a small fraction of that.

Do we lose our existing Power BI reports if we migrate?

No. Reports, semantic models, DAX measures, and visuals all move as-is. What changes is the workspace container, the capacity tier, and the upstream data layer if you build it.

Can Power BI and Fabric run side by side?

Yes. You can keep existing Power BI workspaces on Pro or P-SKU while building new work in Fabric workspaces. Many SMEs migrate progressively rather than all at once, which lets teams learn Fabric on new use cases before touching production reports.

What happens to Power BI Premium (P-SKU) with Fabric?

Microsoft is folding P-SKUs into F-SKUs. At renewal, existing P-SKU customers move to the equivalent F-SKU tier and gain access to the full Fabric platform (not just Power BI capacity). Power BI Pro licences remain a per-user cost for anyone who builds or publishes content, while viewers get free access at F64 and above.

How long does a Power BI to Fabric migration take?

The capacity migration alone: a few days. Adding a Fabric data platform underneath: 8 to 20 weeks depending on source systems, data quality, and use case scope. Most SME projects land at 12 to 16 weeks end to end.

Do we need to migrate at all if Microsoft is phasing out P-SKU?

Not immediately, and not on Microsoft's timetable. P-SKUs remain available at renewal for now. The real question is when your organization would gain enough from the wider Fabric platform to justify the design work. Plan the transition when that answer becomes "soon," not before.