+34649324221 · Today 09:00–14:00 · 15:30–20:00

What Is Microsoft Fabric? Workloads, OneLake, Architecture and Pricing Explained

· By the from Analytics teamChat on WhatsApp

What is Microsoft Fabric, in short

Microsoft Fabric is a data analytics platform delivered as software as a service (SaaS), with no servers to set up. According to Microsoft's documentation, it covers everything from raw data to report, with several tools that share compute and storage.

Three ideas are enough to understand it:

  • One storage layer. Everything stored in Fabric goes into OneLake, a single data lake for the whole organization.
  • Several tools, one per role. Data engineering, data warehousing, data science, real-time analytics and Power BI work on that same data, without copying it from one to another.
  • One meter. You pay for a capacity and every tool draws from it, instead of a bill per service.

Microsoft Fabric explained: the workloads

Data Factory
Brings data in, with pipelines, Power Query and more than 200 connectors. This is how the CRM, the ERP or ad platforms get in.
Data Engineering
Apache Spark with notebooks to transform large volumes. Lakehouses live here.
Data Warehouse
A SQL warehouse with its tables in the open Delta Lake format. For people who work in T-SQL.
Data Science
Machine learning models whose predictions, such as a customer's churn risk, can end up in a report.
Real-Time Intelligence
Data that never stops arriving, such as website clickstreams, analysed as it comes in.
Databases
SQL database in Fabric, plus mirroring, which continuously copies databases such as Azure SQL Database, Azure Cosmos DB or Snowflake into OneLake.
Power BI
Semantic models, reports and dashboards, inside the same platform.
Fabric IQ (preview)
The newest: business definitions, metrics and data agents shared across the platform.

OneLake: one data lake per organization

OneLake is what makes Fabric a platform rather than a collection of tools. Each organization gets a single OneLake, provisioned automatically on Azure Data Lake Storage Gen2. Microsoft compares it to OneDrive: just as Word saves to your company OneDrive, every Fabric tool saves to OneLake.

It is organized into workspaces, like folders, holding items: lakehouses, warehouses, semantic models. Tables are stored in Delta format by default (Parquet files plus a transaction log), so Spark, SQL and Power BI read the same data without converting it.

Shortcuts and mirroring: outside data without moving it

Not everything has to be copied into Fabric. OneLake shortcuts show up as just another folder but point somewhere else: Azure Data Lake Storage Gen2, Azure Blob Storage, Amazon S3, Google Cloud Storage, Dataverse, Iceberg tables, OneDrive and SharePoint, or on-premises storage through the data gateway. Deleting a shortcut leaves the source untouched, and an optional cache of 1 to 28 days makes reading from another cloud cheaper.

Mirroring is the other route: it continuously copies a whole database into OneLake. It fits when you don't want analytical queries hitting the operational database.

Microsoft Fabric architecture: the medallion model

  1. 1
    Bronze
    Data as it arrives: the CRM export, the ad platform files. If it already sits in OneLake, ADLS Gen2, S3 or Google Cloud Storage, a shortcut beats a copy.
  2. 2
    Silver
    Errors fixed and duplicates removed: one currency, one time zone, the same customer in the CRM and in billing.
  3. 3
    Gold
    The tables reports read: opportunity pipeline, spend by campaign, revenue by customer.

How medallion is built in Fabric

It is the design Microsoft recommends for Fabric in its medallion architecture guide: each layer in its own lakehouse or warehouse, ideally in its own workspace, with silver and gold in Delta tables. It suggests two patterns:

  • All lakehouses, with the business querying gold through its SQL analytics endpoint.
  • Bronze and silver as lakehouses and gold as a warehouse, for teams more at home with T-SQL.

A lakehouse's SQL analytics endpoint is for querying, not writing; a warehouse supports full T-SQL. The reasoning behind the three layers, with a sales and marketing example, is in data warehouse vs data lake vs lakehouse.

Power BI in Fabric: Direct Lake mode

Outside Fabric, a Power BI model either imports data, with a copy refreshed on a schedule, or queries the source live (DirectQuery). Inside Fabric there is a third way, Direct Lake: the model reads the Delta tables in OneLake directly, without the import copy. The report shows whatever was last loaded into gold, and data cleaning no longer lives inside each Power BI file.

Microsoft Fabric pricing: F capacities and licences

Fabric is paid for by capacity: an F2 has 2 capacity units (CUs) and an F64 has 64, and every workload draws from it. You pay as you go (per second, one-minute minimum, and it can be paused) or reserve it for a year, about 41% cheaper according to Microsoft.

Prices in the West Europe region (Netherlands), in US dollars and before tax, from the Microsoft Fabric pricing page on Azure as of October 2026, with a month counted as 730 hours:

  • F2: $0.44 an hour, about $321 a month pay-as-you-go; $191 a month with a one-year reservation.
  • F8: $1.76 an hour, about $1,285 a month; $764 a month reserved.
  • F64: $14.08 an hour, about $10,278 a month; $6,112 a month reserved.

OneLake storage is billed separately: $0.024 per GB per month in West Europe for standard storage. The full table, with Spain Central, is on our Microsoft Fabric consulting page.

Power BI licences still count

According to the Fabric licensing guide, below F64 everyone who views Power BI content needs their own Pro or PPU licence. From F64 up, people who only view can do so with a free Fabric licence and a viewer role. Anyone who creates and publishes reports needs Pro either way. So the size depends on how many people view reports.

The free trial

The Fabric trial lasts 60 days, with a capacity of 4 or 64 CUs and up to 1 TB in OneLake. It doesn't include Copilot or data agents, and it is for evaluation, not production.

Microsoft Fabric vs Power BI: not rivals

«Fabric or Power BI?» is a trick question: Power BI is one of Fabric's workloads.

With Power BI alone, each model connects to its sources and cleans them with Power Query on its own, on Pro or PPU licences and no capacity. For many teams that is enough. What it doesn't give you is a place to keep prepared data for other models, other teams or a Python model.

Fabric adds that place: lakehouses, warehouses, pipelines and notebooks on OneLake. Creating them takes an F capacity; a Premium Per User (PPU) licence improves Power BI but doesn't cover the rest.

When Microsoft Fabric is worth it, and when it isn't

Worth it if you already run on Microsoft
Microsoft 365, Entra ID and Power BI: Fabric uses the same access and adds what is missing before the report.
Worth it if every report repeats the cleaning
Several Power BI files fixing the same sources is the clearest sign.
Worth it if you want your own history
Keeping CRM or ad platform detail beyond what each tool retains.
Not needed if Power BI is enough
Few sources and refreshes that don't fail.
Not needed if you already have another platform
If your data is already organized in BigQuery, Snowflake or Databricks, Power BI connects to all of them.

What is Microsoft Fabric: frequently asked questions

Is Microsoft Fabric the same as Azure?

No. Azure is Microsoft's cloud, with separate services you combine yourself. Fabric is a software-as-a-service data platform that brings those functions into one environment, with OneLake as shared storage.

Does Fabric replace Power BI?

No. Power BI is one of its workloads. Reports are still Power BI reports; the difference is that the data is prepared and stored on the same platform.

How much does Microsoft Fabric cost?

It depends on capacity size and region. In West Europe an F2 is $0.44 an hour pay-as-you-go, about $321 a month if it runs all month, or $191 a month with a one-year reservation, according to the Azure pricing page as of October 2026.

Can I try Fabric for free?

Yes. The trial lasts 60 days, with a capacity of 4 or 64 CUs and up to 1 TB of storage, without Copilot. It is for evaluation, not production.

Microsoft Fabric consultingData warehouse vs data lake vs lakehousePower BI consultingSalesforce reports 2,000-row limit

Does Fabric make sense for your team?

In a 30-minute call we look at your sources, what you already run on Microsoft and how many people view reports, and tell you whether Fabric pays off and at what size. If you don't need it, we'll tell you that too.

Book the 30-minute call
Reviews

What our clients say

★★★★★
«from Analytics consultants have been a great asset to us at H&M. They initially joined us to support our migration to GCP and have since helped various business teams not only migrate their reports, but also restructure their entire BI architecture, while being a front-runner in exploring how AI can be utilized within analytics.»
Bianca A.H&M
★★★★★
«Truly impressed with from analytics data visualization skills! Their professionalism and attention to detail not only met but exceeded my expectations. Working with them was a breeze, thanks to their proactive communication and politeness. Highly recommend!»
Facundo P.Puramedicina
★★★★★
«Thanks to from Analytics, we now have custom dashboards to monitor performance across all team divisions, from marketing and customer success to finance and business development. The customer success dashboard has been a complete game-changer, and our leadership team can now make informed decisions directly from clear visual data. We are forever grateful for from Analytics dashboards!»
Chryso S.Stronde