What is Microsoft Fabric? According to Gartner's 2025 Magic Quadrant for Analytics and Business Intelligence Platforms, Microsoft continues to lead the market - and Microsoft Fabric is the platform that underpins that position. Yet for many business leaders, Fabric remains a buzzword they hear in budget meetings and vendor pitches without a clear understanding of what it actually does.
If you are a CFO approving a six-figure technology investment, a COO trying to get a real-time view of operations, or a CTO evaluating whether to consolidate your data stack - this guide is for you. No architecture diagrams. No jargon overload. Just a clear explanation of what Microsoft Fabric is, what it replaces, what it costs, and how to decide whether your organisation should invest in it.
Microsoft Fabric Explained in Plain Language
Microsoft Fabric is a unified data and analytics platform that brings together data storage, data engineering, data science, real-time analytics, and business intelligence into one cloud-based environment. It replaces what previously required five or more separate tools - a data warehouse, an ETL pipeline, a BI platform, a data science workbench, and a real-time streaming service - with a single, integrated product.
Think of it as a consolidation play: instead of buying, integrating, and maintaining separate tools for each stage of your data journey, Fabric bundles everything under one roof, one contract, and one bill.
Microsoft officially announced Fabric at Build 2023 and has since made it the centrepiece of their data strategy, integrating it deeply with Microsoft 365, Azure, Dynamics 365, and Copilot AI capabilities.
Why Should Business Leaders Care About a Data Platform?
Because your data costs are almost certainly higher than they need to be, and your data quality is almost certainly lower than it should be.
Here is the reality at most mid-market companies in 2026:
- Data is siloed. Finance uses one system, operations uses another, sales uses a third. Getting a single view of the business requires manual exports, spreadsheet gymnastics, and weeks of waiting.
- Reporting is slow and expensive. Monthly close reports take days. Ad hoc questions from the board take weeks. Analysts spend 60–80% of their time preparing data instead of analysing it.
- You are paying for multiple overlapping tools. A data warehouse here, an ETL tool there, a BI platform on top - each with its own licence, its own vendor, and its own maintenance burden.
- You are not AI-ready. Every vendor promises AI, but your data is too fragmented, too dirty, and too inaccessible for AI to deliver real value.
"We see it in almost every initial assessment we do," says Mareks Polis, Data & Analytics Lead at DIGMATIX. "Companies are running three, four, sometimes five separate data tools that do not talk to each other. They are paying for overlapping licences, and their finance teams are still waiting two weeks for a report that should take two minutes. Fabric changes that equation fundamentally - it takes all of those fragmented pieces and brings them into one governed platform."
Microsoft Fabric addresses all four of these problems. And the financial case is often stronger than leaders expect.
How Microsoft Fabric Works
OneLake: One Copy of Your Data
The foundation of Fabric is OneLake - a single storage layer where all your organisation's data lives. Instead of copying data between systems and paying for storage in each one, every team accesses the same data from one place. Microsoft describes it as "the OneDrive for data": a single, governed lake that every analytics workload shares.
What this means in practice:
- You eliminate duplicate storage costs across multiple platforms.
- There is one source of truth - no more conflicting numbers between finance and operations.
- Data governance, lineage, and security are built in, not bolted on.
Integrated Workloads: Everything in One Place
Fabric includes workloads that previously required separate, independently licensed products:
What You Need | Before Fabric (Separate Tools) | With Microsoft Fabric |
Store data | Azure Data Lake, Snowflake, or Databricks | OneLake (included) |
Move and transform data | Azure Data Factory, Informatica, or Fivetran | Data Factory (included) |
Build data models | Azure Synapse Analytics, SQL Server | Data Warehouse & Lakehouse (included) |
Analyse and report | Power BI (separate licence) | Power BI (included) |
Run data science | Azure ML, Databricks notebooks | Data Science workload (included) |
Process real-time data | Azure Stream Analytics, Event Hubs | Real-Time Intelligence (included) |
What this means in practice:
- One vendor, one contract, one bill - instead of five or six.
- Reduced integration complexity means lower consulting and maintenance costs.
- Faster time to insight because teams are not waiting for data to move between systems.
Capacity-Based Pricing: Pay for Compute, Not Per User
Fabric uses a capacity-based pricing model measured in Capacity Units (CUs). You purchase a capacity tier (such as F64 or F128), and all workloads - data engineering, analytics, BI - share that capacity. This is fundamentally different from traditional per-user licensing, where costs scale linearly with headcount.
What this means in practice:
- Predictable monthly costs that do not spike when you add users.
- All workloads, including Power BI Premium features, are covered by the capacity.
- You can start small (F2 capacity for testing) and scale up as adoption grows.
- Pay-as-you-go options are available for variable workloads through Azure portal.
A Practical Example: Before and After Fabric
Before Fabric: A mid-market manufacturing company runs an ERP system for finance and operations, a CRM for sales, and a collection of Excel spreadsheets for financial planning. Data moves between these systems via manual exports and a legacy ETL tool. Monthly reporting takes two weeks. The CFO cannot get a real-time view of cash flow because the data is fragmented across three systems and two cloud providers.
After Fabric: All data flows into OneLake via Fabric's built-in connectors. A Power BI dashboard provides real-time cash flow visibility, pulling live data from the ERP, CRM, and the general ledger - all governed, all in one place. Monthly close reporting drops from two weeks to two days. The same data is available for the data science team to build forecasting models. No additional tools required.
"One of our manufacturing clients in the Baltics had their finance team spending eleven days on the monthly close," recalls Mareks Polis. "After we implemented Fabric with Power BI dashboards connected to their Business Central data, that dropped to three days. But the real win was not speed - it was that the CFO could finally see cash flow, inventory levels, and margin data in a single view, updated in real time, for the first time in the company's history."
The AI Angle: Why Fabric Is the Foundation of Your AI Strategy
Every board is asking about AI. Here is the uncomfortable truth: AI is only as good as the data it can access.
If your data is scattered across siloed systems with inconsistent formats and no governance, AI tools - including Microsoft's own Copilot - cannot deliver meaningful results. Fabric solves this by:
Centralising data in OneLake so AI workloads have access to complete, governed datasets across your entire organisation.
Providing built-in data science workloads for training and deploying machine learning models directly where your data lives, without moving it to yet another platform.
Enabling Copilot in Power BI so business users can ask natural-language questions ("What were our top 5 customers by margin last quarter?") and get instant AI-powered insights, with no technical skills required.
Integrating with Azure AI services for advanced scenarios like document intelligence, anomaly detection, and predictive analytics.
The takeaway: Fabric is not just a data platform - it is the foundation that makes your AI investments actually work. Without a unified data layer, AI projects fail. With Fabric, AI has the governed, accessible data it needs to deliver ROI.
What Does Microsoft Fabric Cost?
Fabric pricing is capacity-based, starting from approximately $262/month for an F2 SKU (suitable for development and testing) and scaling to enterprise tiers. Current pricing is available on the official Azure Fabric pricing page.
Here is a simplified view of common capacity tiers:
| Capacity SKU | Approximate Monthly Cost (EUR) | Typical Use Case |
|---|---|---|
| F2 | ~€241 | Development, proof of concept |
| F8 | ~€966 | Small team, departmental analytics |
| F32 | ~€3,864 | Mid-market company, broad adoption |
| F64 | ~€7,719 | Enterprise, multiple workloads |
| F128+ | ~€15,437+ | Large enterprise, heavy compute |
Important context for cost comparison: These capacities include Power BI Premium features, data engineering, data science, and real-time analytics workloads. When comparing to your current spend, add up all the separate tools Fabric replaces - not just your BI licence. Many organisations discover they are already spending more on fragmented tools than a Fabric capacity would cost.
The ROI Calculation
For a mid-market company currently spending across separate data and analytics tools, the consolidation to Fabric typically delivers:
- 30–50% reduction in total data platform costs through licence consolidation and reduced integration work
- 60–80% reduction in reporting cycle time through automated pipelines and self-service analytics
- Eliminated data engineering bottleneck as business users can access and explore data without waiting for IT
These are real savings that show up on the P&L - not theoretical efficiency gains.
Common Concerns Business Leaders Raise
"We have already invested heavily in our current tools."
This is the most common objection, and it is valid. Migration has real costs. However, the question is not "what did we spend?" but "what will we spend over the next three years if we stay on our current path?" Factor in rising licence fees, growing integration complexity, the technical debt of maintaining custom integrations, and the cost of not being AI-ready. In most cases, the three-year total cost of ownership favours Fabric.
"Is this just a Microsoft lock-in play?"
Fabric stores data in open formats (Delta Lake / Apache Parquet) in OneLake. Your data is not trapped in a proprietary format. Fabric also connects to non-Microsoft sources - Snowflake, Databricks, Google BigQuery, AWS S3, and hundreds of others via shortcuts and connectors. You are choosing an integration platform, not a walled garden.
"Our IT team says we are not ready."
You do not need to migrate everything at once. Most successful Fabric implementations start with a single use case - typically financial reporting or operational dashboards - and expand from there. A proof of concept can be running in weeks, not months. This is precisely why we recommend starting with a focused assessment rather than a full-scale deployment plan.
"How does this affect our existing Microsoft licensing?"
Fabric integrates with your existing Microsoft 365 and Azure subscriptions. If you already have Power BI Pro licences, those users can access Fabric content. Fabric capacity can be added to your existing Microsoft Enterprise Agreement, often at negotiated rates. For organisations already in the Microsoft ecosystem with Dynamics 365 Business Central or Dynamics 365 Finance, the integration is particularly seamless - data flows directly from your ERP into Fabric with minimal configuration.
Microsoft Fabric vs. Other Data Platforms
How does Fabric compare to alternatives you may be evaluating?
Criteria | Microsoft Fabric | Snowflake | Databricks | Google BigQuery |
BI included | Yes (Power BI) | No (requires Tableau, Looker, etc.) | No (requires separate BI tool) | Looker (separate product) |
Data engineering | Included | Included | Included | Included |
Real-time analytics | Included | Limited | Included | Included |
Data science | Included | Limited | Strong | Moderate |
Microsoft ecosystem integration | Native | Connector | Connector | Connector |
Pricing model | Capacity-based | Usage-based | Usage-based | Usage-based |
Data format | Open (Delta/Parquet) | Proprietary + Iceberg | Open (Delta) | Proprietary |
Best for | Microsoft-centric organisations | Multi-cloud data warehousing | Advanced data engineering & ML | Google Cloud-native shops |
For organisations already running Microsoft 365, Dynamics 365, or Azure, Fabric offers the most integrated path with the lowest total integration cost. For multi-cloud environments with no Microsoft dependency, Snowflake or Databricks may be more appropriate.
Frequently Asked Questions
What is Microsoft Fabric used for?
Microsoft Fabric is used to unify an organisation's data storage, data engineering, analytics, and AI workloads into a single cloud platform. It replaces the need for multiple separate tools by providing data pipelines, a data warehouse, a lakehouse, real-time analytics, data science notebooks, and Power BI - all in one governed environment.
Is Microsoft Fabric the same as Power BI?
No. Power BI is the business intelligence and reporting layer. Microsoft Fabric is the broader data platform that includes Power BI alongside data engineering, data science, and real-time analytics workloads. Think of Power BI as one component within the larger Fabric platform.
How much does Microsoft Fabric cost?
abric uses capacity-based pricing starting at approximately €241/month for development tiers. Mid-market deployments typically range from €3,680–€7,820/month. Enterprise deployments can exceed €14,720/month depending on data volume and compute requirements. This single capacity cost replaces what would otherwise be three to six separate tool licences.
Do I need to replace my existing data warehouse to use Fabric?
No. Fabric supports "shortcuts" that let you connect to existing data sources - including Snowflake, Databricks, and AWS S3 - without physically moving data. You can start using Fabric alongside your current stack and migrate workloads gradually as you see results.
How long does a Microsoft Fabric implementation take?
A focused proof of concept (single department, one use case) can be running in two to four weeks. A full enterprise rollout across multiple departments typically takes eight to sixteen weeks with an experienced implementation partner. At DIGMATIX, we recommend starting with a financial reporting or operational dashboard use case to demonstrate value quickly.
Is Microsoft Fabric available in the Baltics and Nordics?
Yes. Fabric runs on Azure, which has data centre regions across Europe including North Europe (Ireland) and West Europe (Netherlands). DIGMATIX has implemented Fabric for clients across Latvia, Lithuania, Estonia, Poland, Finland, and Croatia, ensuring compliance with local data residency and GDPR requirements.
Next Steps for Your Organisation
If you are evaluating Microsoft Fabric, the smartest first step is a data landscape assessment - an audit of your current tools, what they cost, where the integration gaps are, and which use case would deliver the fastest ROI as a Fabric proof of concept.
At DIGMATIX, we specialise in Microsoft Fabric and Power BI implementations for mid-market companies across the Baltics, Nordics, Poland, and Croatia. We help business leaders understand the financial case, build the business case for the board, and deliver a working proof of concept in weeks - not months.
Book a free 30-minute data strategy consultation to discuss whether Fabric is the right move for your organisation.
