Data Factory
ETL and ELT integration for complex data scenarios.
A unified, AI-powered analytics platform where data engineers, scientists, and analysts finally work over the same store. Copilot is threaded through every job. The data never moves.
The most expensive thing in a large company's data stack is invisible. It is the copy. Sales has its extract, finance has its version, the data science team has a third, and by Tuesday afternoon three people are in a meeting disagreeing about a single number. Microsoft Fabric is built to delete that meeting.
Fabric is Microsoft's unified, AI-powered analytics platform, delivered as software-as-a-service. Instead of stitching together a warehouse here, a data lake there, and a business-intelligence tool somewhere else, it puts every workload on one foundation and lets them share the same data and the same pool of compute. Data engineers, data scientists, analysts, and business decision-makers all show up to the same place.
That place is OneLake, and it is the idea the whole platform turns on.
OneLake is a single, multi-cloud data lake. One organization, one lake. Every Fabric engine reads and writes to it directly, which means you stop duplicating data to feed each separate tool. The old pattern was copy-to-warehouse, copy-to-lake, copy-to-BI. Fabric's answer is to leave the data where it is and bring the engines to it.
On top of OneLake sit the workloads, each aimed at a different job but all pointed at the same store. Together they cover the arc from raw ingestion to a chart an executive actually reads.
ETL and ELT integration for complex data scenarios.
Organize and process large volumes at scale.
SQL analytics with compute and storage that scale independently.
Low-latency analysis of streaming data.
AI-driven enrichment and model building.
Visual analytics and embedded business intelligence.
There is a pricing idea hiding inside that architecture. A single pool of capacity powers every engine, so a team buys compute once and points it wherever the work happens to be that day. The warehouse is quiet at 2am and the streaming job is busy? Same capacity, no renegotiation.
The AI is not bolted on at the edges. Copilot runs through every Fabric workload, turning plain-English prompts into pipelines, notebook code, machine-learning models, and Power BI reports. Ask for a pipeline; get a pipeline. Ask why a chart looks wrong; get an explanation. Fabric is positioned as the data foundation for enterprise AI, and the logic is blunt: an AI is only as good as the data underneath it, so fix the foundation first.
Dener Pires, the racing team's CEO, put it plainly: engineers once needed 30 minutes to pull data and analyze it, and now the process finishes in minutes. On a pit wall, that is the difference between a decision and a missed one.
The newer pieces show the direction of travel. Fabric IQ, in preview, offers unified intelligence for agents and real-time decisions. Rayfin is a managed backend-as-a-service for enterprise app development. Add native Microsoft 365 integration, federated governance, and built-in resilience, and the tell is clear: Microsoft is turning the data platform into an agent platform.
Fabric became generally available on November 15, 2023. A free trial hands each user their own Fabric capacity, and a capacity estimator helps teams size what they need. But the pitch is not really about a trial. It is about that invisible copy, and the meeting it causes, and the quiet promise that both can go away.