Great architecture.
Clear decisions.
Built with confidence.
Bring clarity to your Microsoft Fabric estate. Plan the right capacity, understand every cost, and design what comes next.
F2 through F2048
From workload to decision
Engineering knowledge, shared
Explainable sizing models
Every decision, better informed.
Purpose-built tools. One connected way of thinking.
Capacity intelligence
Turn Data Factory, Spark, and Power BI workloads into a considered capacity plan.
Plan your capacityCost intelligence
Compare pay-as-you-go and reserved pricing. Understand the cost before you commit.
Explore your costsArchitecture studio
Connect your data estate. Model Lakehouses, OneLake, and the architecture behind them.
Design your architectureEngineering advisor
Get explainable recommendations grounded in documented rules and your workload.
Meet your advisorA clear path from
“what if” to “what’s next.”
Explore the possibilities before making the commitment. Build a plan your whole team can understand.
Start your assessmentBuilt for curious engineers.
Practical guidance to turn a good plan into a considered one.
Getting Started: Build a Checkable Capacity Estimate
Prepare workload inputs, record assumptions, and validate a proposed capacity before purchasing.
Read the guideFabric Capacity Units: Separate Compute, Licensing, and Price
Understand what a CU represents and how to compare an illustrative workload without treating a SKU as a user-count guarantee.
Read the guideSpark Workloads: Measure Before Changing Capacity
Compare an illustrative batch job using runtime, output correctness, resource consumption, and competing workloads.
Read the guideOpen by design. Clear by default.
No black boxes
Deterministic calculations with visible assumptions and documented methodology.
Grounded in the details
Pricing provenance, capacity specifications, and engineering context alongside your results.
Built in the open
Independent, MIT licensed, and community driven. Created by Datta Sable for data teams.
Estimate compute demand across Data Factory, Spark, and Power BI; compare Fabric capacity tiers and pricing; design your data architecture; and export a decision report. The Engineering Workspace brings these tools together in saved scenarios.
Estimates use deterministic formulas and your workload inputs. The tools show assumptions, smoothing windows, pricing sources, and configurable headroom so you can understand the result and validate it with a representative workload.
Yes. Create, duplicate, and compare scenarios in the Engineering Workspace. You can adjust workload assumptions and export or import your scenarios as JSON. Scenarios are stored locally in your browser.
Fabric Master is an independent, open-source planning tool created by Datta Sable and the community under the MIT License. It is not affiliated with, sponsored by, or endorsed by Microsoft.
Build your next decision
on a clearer foundation.
Your workloads. Your assumptions. A plan that makes sense.