Migrating from Azure Synapse, Snowflake, or Databricks to Microsoft Fabric? We give you a battle-tested playbook — assessment, migration plan, execution support, and validation — so you stop paying for two platforms and start shipping on one.
Your current warehouse works. But it's costing you more than it should — in licensing, complexity, and missed opportunity.
Running Synapse and Fabric side by side burns budget. Snowflake credits keep climbing. Every month you delay, you pay twice for the same workloads.
Compute here, storage there, BI somewhere else. Fabric unifies everything — lakehouse, warehouse, notebooks, pipelines, semantic models — under one platform with one security model.
You know you should move, but the risk feels too high. Without a proven playbook, teams stall for quarters. Meanwhile, your data platform stagnates.
A complete migration engagement from assessment through validation and handoff.
Deep dive into your current warehouse: database inventory, table/view counts, stored procedures, data volumes, query patterns, and dependency mapping.
A scored readiness matrix across 8 dimensions: schema complexity, T-SQL compatibility, data volume, dependencies, security, ETL patterns, reporting, and team capability.
Wave-by-wave migration plan with prioritized workloads, rollback procedures, parallel-run strategy, and a detailed runbook your team can execute independently.
Automated and manual conversion of DDL, stored procedures, views, and complex T-SQL or Spark SQL queries to Fabric-native syntax. Every conversion tested.
Hands-on guidance during the actual data move. We set up pipelines, configure COPY INTO statements, handle partitioning strategy, and monitor transfer integrity.
Row counts, checksum comparisons, query result parity testing, and performance benchmarking. You get a validation report proving your data arrived intact.
Existing Power BI reports rewired to Fabric endpoints. Direct Lake configuration where applicable. No broken dashboards on Monday morning.
Full documentation package plus a 2-hour knowledge transfer session. Your team owns the playbook and can replicate the approach for future waves.
We connect to your source platform, inventory every database and workload, map dependencies, and score migration complexity. You get a readiness report within 5 business days.
We design the wave-by-wave migration strategy, define rollback procedures, set up parallel-run environments, and deliver the detailed runbook. You approve before we move anything.
Schema conversion, data migration pipelines, stored procedure rewrites, and BI reconnection. We work alongside your team, transferring knowledge at every step.
Row-level reconciliation, query parity testing, performance benchmarking, and a sign-off report. Plus 30 days of post-migration support for any issues.
| DIY Migration | With PowerMates | |
|---|---|---|
| Assessment | Manual inventory, weeks of discovery | Automated scan + expert review in 5 days |
| Migration plan | Ad-hoc, often incomplete | Wave-by-wave runbook with rollback |
| Schema conversion | Trial-and-error T-SQL fixes | Systematic conversion + testing |
| Validation | Spot checks, hope for the best | Row-level reconciliation + benchmarks |
| BI impact | Broken reports discovered post-go-live | Reports reconnected and validated |
| Documentation | Usually none | Full playbook your team can reuse |
| Risk | High — unknown unknowns | Managed — proven methodology |
Secure checkout via Stripe. You'll receive an intake questionnaire after payment.
Every Migration Playbook engagement includes three professional deliverables — see a sample below.
Interactive scored report with findings, severity ratings, metrics, and recommendations. Dark-themed, print-ready.
PowerPoint summary for leadership — score, key findings, recommendations, and next steps. Ready to present.
Detailed written report with findings table, remediation steps, and priority recommendations. Shareable with stakeholders.
Sample uses anonymized data for demonstration purposes
Most single-wave migrations complete in 4–6 weeks from kickoff. The assessment and planning phase takes about 1 week, conversion and testing takes 2–3 weeks, and validation plus go-live takes another 1–2 weeks. Multi-wave migrations follow the same cadence per wave.
We handle it. The assessment flags every incompatible construct — Snowflake UDFs, Synapse distributions, Databricks Delta-specific syntax. We convert each one to Fabric-native equivalents and test before cutover.
No. We run both platforms in parallel during the transition. Reports stay connected to the old source until we validate the Fabric endpoints. Then we rewire connections — often to Direct Lake for better performance — and confirm everything works before decommissioning.
You need at least an F2 SKU for the target environment. If you don't have one yet, we can help you right-size during the assessment phase. Many clients start with a trial capacity for the initial migration wave.
The playbook covers the first wave (up to 15 databases). For larger estates, we design the wave strategy so your team can replicate the approach independently. Additional waves can be scoped separately at a reduced rate since the playbook is already built.
Yes. The most popular combo is Migration + Governance ($23,500) — migrate clean and set up proper governance from day one. You can also add the Architecture Accelerator ($15,000) if you want a full medallion lakehouse built on top of the migrated data.
Get a proven migration playbook built by a Dual Microsoft MVP with 20+ years of enterprise data experience.
Banking
Migrated 4TB dedicated SQL pool with 200+ stored procedures. Zero downtime cutover using parallel-run validation strategy.
4TB migrated, 0 downtime
Media
Moved 12 Snowflake warehouses to Fabric lakehouses. Eliminated $18K/mo in Snowflake compute credits while improving query performance.
$18K/mo cost eliminated
Pharma
Unified 3 Databricks workspaces into one Fabric tenant. Simplified governance, reduced admin overhead, maintained all ML pipelines.
3 workspaces → 1 tenant
Each engagement is standalone — or bundle them for deeper savings.
$12,500
Full tenant health audit
$15,000
Medallion lakehouse architecture
$18,000
AI agent integration via MCP
$2,500
Power BI model review
$4,500
Spark anti-pattern detection
$3,500
Pipeline reliability review
$12,000
Eventstreams & KQL setup