Microsoft Fabric Performance Review
Microsoft Fabric, measured on your data, before you commit.
You have a Fabric workspace stood up but no production workloads moved in. We measure OneLake, V-Order on Delta, and Direct Lake mode gains phase by phase on your real data, so you have decision-quality evidence before committing to migration.
Decision-quality evidence, four deliverables deep.
Performance Baseline
Reference query times on your current data tier (Blob parquet, Azure SQL) as the control measurement.
OneLake + V-Order Gains
Measured improvement after OneLake migration, then again with V-Order applied to Delta tables.
Direct Lake at Scale
Sub-second queries on production volumes with no silent DirectQuery fallback. Variant choice documented.
Documented Analysis
Phase-by-phase findings plus a go / optimize / wait / pivot recommendation with rationale.
Six phases. Each one compounds. Scope locked at kickoff.
Baseline + OneLake
Reference query times on current data. Copy into OneLake without V-Order. Measure the delta.
V-Order on Delta
Apply V-Order to OneLake Delta tables. Microsoft documents 40-60% cold-cache gains. Measured on your data.
Direct Lake + Hybrid
Direct Lake mode setup, at-scale validation, and composite Direct Lake + Import semantic model.
A partner, not a vendor.
4 Solutions Partner Designations
Data & AI · Digital & App Innovation · Infrastructure Azure · Support Services.
AI Apps on Azure Specialization
Held by a small fraction of partners. Production AI on Azure, verified by Microsoft.
Azure AI MVP on staff
Engagements led by Microsoft-recognized practitioners with 15+ years on the platform.
Microsoft funding pathway
Our Azure specialization lets us nominate qualifying engagements for Microsoft Azure investment funding, subject to Microsoft eligibility and approval.
Should you commit to Fabric?
30-minute scoping call. Confirm your Fabric workspace and identify a representative dataset.
Book scoping call