Microsoft Fabric, for analytics that fits your stack.
Fabric brings data engineering, warehousing, Power BI and governance into one Microsoft-native platform. For teams already living in Azure and the Microsoft 365 ecosystem, it means fewer tools to stitch together and one place for data to live.
Where Microsoft Fabric earns its place in the stack.
Unified data platform
OneLake gives every workload — warehouse, lakehouse, pipelines, Power BI — a single copy of the data, instead of five tools each with their own.
BI that sits on live data
Power BI reports built directly on Fabric datasets, with no separate extract step and no stale numbers waiting on an overnight refresh.
Data engineering pipelines
Dataflows and notebooks handle ingestion and transformation natively in the platform — the pipeline and the warehouse it feeds live in the same place.
Governance that's already there
Purview integration and workspace-level permissions mean governance isn't bolted on afterwards — it's part of the platform from day one.
One platform, instead of five stitched together.
Fabric isn't always the right call — but for a business already committed to the Microsoft ecosystem, it collapses a stack that would otherwise need separate tools for ingestion, storage, transformation and reporting.
We reach for it when a client's data estate is already Microsoft-shaped: Power BI in daily use, Azure hosting the rest of the stack, and a team that would rather learn one platform deeply than five shallowly.
Fits teams already on Microsoft
If your business already runs on Azure and Microsoft 365, Fabric is the path of least resistance — same sign-in, same admin model, same billing.
One copy of the data, everywhere
OneLake removes the usual mess of duplicated extracts between the warehouse, the lake and the BI layer — one source, read by every workload.
Power BI without the wait
Reports read from live Fabric data instead of a scheduled import, which changes how quickly a dashboard can answer a genuinely new question.
Consumption pricing that scales down too
Capacity-based billing means a smaller team isn't paying for a warehouse sized for someone else's data volume.
Not sure Fabric is the right call? Ask the engineer who'd build it.
Book a 30-minute working session with a senior engineer — a real conversation about your data estate, not a sales call.
What a Microsoft Fabric build usually includes.
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Read moreThe stack we ship on.
Pragmatic, mostly boring, and chosen because it works in production — not because it's on the front page of Hacker News.
Have an outcome in mind?
We'll help you
ship it.
- You're building a data product and need a team that can deliver.
- You want to get AI-ready — pragmatically, not theoretically.
- Your reporting is a mess and you need a real platform underneath it.