💡 In short: Microsoft Fabric is Microsoft's unified data platform, combining Power BI, Synapse, Data Factory and several other tools into one product. For Belgian organisations already invested in Microsoft, it can simplify the data stack and accelerate analytics. For others, the answer is less obvious. At Agilytic, we help Belgian decision-makers cut through the marketing and decide whether Fabric is the right move, then deliver it when it is.

What Microsoft Fabric actually is

Microsoft Fabric was launched by Microsoft in 2023 and is now widely adopted, with 31,000+ customers worldwide and strong European adoption signals. This single Software-as-a-Service platform that bundles together capabilities that used to be sold as separate Azure products. In one environment, you get:

• A lakehouse: one storage layer for all your data, structured and unstructured, so you're not maintaining separate systems for spreadsheets and, say, raw log files

• A data warehouse: clean, modeled data optimized for analytics and reporting, the trusted source teams actually build dashboards on

• Data Factory: the plumbing that moves and transforms data from your various source systems into Fabric, without manual copying

• Real-Time Intelligence: for live, streaming data (sensors, transactions, events) where you need to act on what's happening now, not yesterday

• Data Science: notebooks and machine-learning tools for the team building predictive models, working off the same data as everyone else

• Power BI: Microsoft's familiar reporting and dashboarding tool, now reading straight from your data with no extra copying step

• Copilot: Microsoft's AI assistant, available across every layer to help write queries, explain code, and speed up the work

As often, the selling point is simplicity: instead of buying, configuring and connecting five or six services, you buy one platform and pay by compute capacity. The data lives in one place, the permissions are unified, and the learning curve flattens.

In Agilytic's view, the more interesting shift is organizational. Fabric makes it realistic for a single team to own end-to-end analytics work, instead of needing 3 separate squads for data engineering, BI, and data science. That changes how data functions are structured, not just how they are tooled.

When Microsoft Fabric makes sense

Based on the projects we have advised on, Fabric is a strong fit when several of the following are true:

✅ You are already a Microsoft shop

Office 365, Azure Active Directory, Power BI, and Azure compute already in place. Fabric extends what your teams know, rather than adding a new vendor relationship.

✅ Power BI is your reporting standard

Fabric is, in many ways, Power BI's bigger sibling. If business users already rely on Power BI for dashboards, putting the upstream data work in Fabric removes friction.

✅ Your data team is small (or stretched)

Fabric reduces the number of moving parts you need to staff for. For mid-sized Belgian companies without a dedicated platform team, that matters.

✅ You want to accelerate AI adoption

Copilot in Fabric makes natural-language querying and assisted data modelling realistic for non-technical business users. This is a big differentiator if AI adoption is on your agenda!

✅ Your data volumes are moderate to high, but not extreme

Fabric scales well for the majority of mid-market and enterprise workloads. It is, however, not designed for hyperscale, sub-millisecond use cases.

✅ You want predictable governance

Fabric inherits Microsoft's enterprise governance model, including unified security, lineage and Purview integration. For organisations in regulated sectors (finance, healthcare, public), that is a real plus.

When Microsoft Fabric is not the right answer

We say this part out loud because most vendors will not. Fabric is not always the answer.

❌ You are deeply invested in another ecosystem

If your team runs on Databricks, Snowflake, or AWS-native services, the cost of switching usually outweighs the gain. Honest assessment beats vendor loyalty in both directions.

❌ You have specialized needs Fabric cannot meet yet

Some advanced use cases are still better served by purpose-built platforms. This includes:

• Certain streaming architectures

• Large-scale graph analytics

• Very specific ML tooling

❌ You are optimizing for cost-efficiency, not for predictability

Fabric's fixed-capacity pricing is genuinely predictable, and that is one of its real strengths. The trade-off is that Fabric is usually a bit more expensive than a Databricks pay-per-use setup or a well-tuned open-source stack. You are paying a premium for the unified-service convenience.

If wringing the lowest possible cost out of every euro of data infrastructure is the priority, Fabric is not the right answer.

How we approach Microsoft Fabric projects

Agilytic works with Belgian and international clients across three phases, depending on where you are in the journey.

Phase 1: Fabric readiness assessment

We review:

• Your current data stack

• Your team and use cases

• Your strategic priorities

The deliverable is a clear yes-or-no recommendation on Fabric, with reasoning, expected cost ranges, and a phased adoption plan if the answer is yes. No deliverable is "you should definitely buy Fabric." If the honest answer is "not now," that is what you get.

Phase 2: Microsoft Fabric implementation

During this phase, we:

• Design and build the architecture

• Migrate priority data sources

• Set up governance

• Build the first two or three high-value use cases end-to-end

We work alongside your team rather than replacing them, so the knowledge stays with you after we leave.

Phase 3: Scale and adoption

Once the foundations are in place, we help you industrialize:

• New data products

• Training for your internal team and (even better) upskilling through co-creation

• AI use cases on top of the Fabric foundation

• Governance reviews as usage grows

What we do not do: lock you in, oversell capacity, or push Fabric as the answer to a question you have not yet asked. We are a Microsoft Fabric expert team, not a Microsoft reseller.

Why Agilytic?

Agilytic has been a Belgian data and AI consultancy since 2015, with more than 300 projects delivered for organisations across finance, retail, healthcare, logistics and the public sector. We are independent, which means our advice is shaped by what works for you, not by partner commitments.

Our Managing Partner, Julien Theys, is Professor of Data Science at Solvay Brussels School and IHECS, and writes regularly on data strategy for executives. That mix of academic rigor and hands-on delivery is unusual in this market, and it is what makes our assessments useful at board level, not just in IT.

We also know the Belgian context. The data maturity curve here, the regulatory environment, the talent constraints, and the realistic timelines for change all differ from what Microsoft's global content describes. We translate.

Questions Belgian leaders ask us about Microsoft Fabric

How much does Microsoft Fabric cost?

Fabric is billed on capacity units (CUs), starting around 260 EUR per month for the smallest tier and scaling well into five figures monthly for larger workloads. The pricing logic is genuinely simpler than the old Azure-per-service model, but it can creep up if usage is not monitored. We help model expected costs before you commit.

Is Microsoft Fabric replacing Power BI?

No. Power BI is now part of Fabric, but it continues to exist and evolve. If you use Power BI today, nothing breaks. Fabric simply adds the data infrastructure layers underneath, in the same product.

What is the difference between Microsoft Fabric and Azure Synapse?

Synapse is one of the products Fabric absorbs. Existing Synapse workloads continue to run for now, but Microsoft's investment is clearly going into Fabric. For new projects, we generally recommend starting on Fabric. For mature Synapse environments, migration timing depends on contract terms and use cases.

Do we need to migrate from Synapse to Fabric immediately?

No. Synapse is supported and stable. The right question is not "when do we migrate," it is "when is the value of migration greater than the disruption." For most clients, that is a planned move over 12 to 24 months, not a rush.

Does Microsoft Fabric work outside Microsoft environments?

Yes, partially. Fabric can ingest data from non-Microsoft sources (Salesforce, SAP, AWS, on-premise databases). What it does less well is integrate as an equal partner with non-Microsoft analytics stacks. So if you run heavily on AWS or GCP, the cost-benefit changes.

Talk to us about Microsoft Fabric

If you are evaluating Microsoft Fabric, the most useful next step is a short conversation. Thirty minutes, no slideware, no obligation. We will tell you honestly whether a readiness assessment is worth doing for your situation, and what to expect if it is.

You can also browse our wider data engineering services, or our AI consulting practice. Both teams work closely with Fabric implementations.