CIO / CDO / CTO Teams
Standardizing the data stack on Microsoft and retiring tools that sit outside it.
A workflow estate built over years does not belong in a weekend cutover. Hexaview Technologies plans and runs your Alteryx to Microsoft Fabric migration from workflow inventory through validated go-live, so your analysts keep their logic, your IT team gets a governed platform, and nobody discovers a broken macro three weeks after launch.
Hexaview's Alteryx to Microsoft Fabric migration services convert your workflows, macros, and analytic apps into Fabric pipelines, Dataflows, and notebooks, validated against the original Alteryx output at every step. We scope the estate, convert what can convert safely, rebuild what cannot, and keep both platforms running until you sign off.
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Delivering 16+ years of excellence
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Alteryx made data prep approachable. The cost shows up later — in licensing, in scale, in governance that lives outside the Microsoft stack. Alteryx replacement with Microsoft Fabric is rarely about dissatisfaction with the tool; it's about outgrowing what a desktop tool was built to do.
A breakdown of core capabilities
Most failed migrations don't fail on the easy 80%. They fail on the parts below are the reason a scoped assessment comes before a quote. A successful Alteryx to Microsoft Fabric Migration identifies complex workflows, formulas, macros, and dependencies early, so teams can migrate Alteryx workflows to Fabric without disrupting business logic.
Branching, nested tool chains that don't map 1:1 to a Fabric pattern
Nested and batch macros hide business logic several layers deep
Fuzzy match, spatial, and multi-key joins need manual re-authoring
Undocumented up/downstream links between workflows
Alteryx Server schedules don't translate directly to Fabric pipeline triggers
Blended, denormalized outputs need a warehouse-shaped rebuild
Desktop-tuned logic can run inefficiently at Spark scale untuned
File-share permissions have no Fabric/RBAC equivalent by default
Every asset in the estate gets a defined target before conversion starts. Illustrative mapping below; the full matrix is delivered after the assessment.
Proprietary tooling that reads Alteryx logic and produces a first-pass Fabric build, so engineers validate and refine instead of rebuilding from a blank canvas. This accelerates Alteryx workflow migration while helping teams Migrate from Alteryx to Microsoft Fabric with a consistent starting point for pipelines, Dataflows, and notebooks.
Every workflow, macro, and dependency catalogued and scored before scoping
Tool chains, formulas, and joins parsed out of the .yxmd/.yxmc XML
First-pass Fabric pipeline, Dataflow, or notebook generated per asset
Row-level output comparison against the Alteryx baseline, with a pass/fail report
Five checkpoints, whether the project covers a dozen workflows or a full enterprise estate.
Inventory every workflow, macro, dependency; score complexity before quoting
Match each asset to its Fabric target using the mapping matrix
Build and unit-test pipelines, Dataflows, notebooks — automated where clean, hand-built where not
Reconcile record counts, schema, and KPIs against the Alteryx baseline; tune performance
Cut over on your schedule; coexistence window stays open until sign-off
Validation and governance aren't a final QA pass, they're structured into every wave of the migration. As part of the Alteryx to Fabric migration, each workload is checked against the Alteryx baseline for output, performance, and security, helping ensure an effective Alteryx replacement with Microsoft Fabric.
Record counts, schema match, business-KPI reconciliation vs. Alteryx baseline
Benchmark against Alteryx runtime; tuning pass before go-live
RBAC, isolated environments, Purview lineage, monitoring, full auditability
Rather than configuring and governing separate services for pipelines and dashboards, Fabric runs all core workloads on the same One Lake storage layer. The table below breaks down each workload and what it does for your data environment.
One governed platform instead of a desktop tool bolted onto the data stack
Analytics ship in days, not the multi-week Alteryx build-and-share cycle
RBAC, lineage, and audit trail through Microsoft Purview by default
Spark-based compute that scales with data volume, not desktop hardware
Not every Alteryx shop needs an enterprise migration partner. This is built for teams where the workflow estate, and the risk of getting it wrong, has outgrown what one analyst can rebuild alone.
Standardizing the data stack on Microsoft and retiring tools that sit outside it.
Under pressure to cut tool sprawl without losing the logic their teams already built.
Need Alteryx-fed reporting to survive the move to Power BI and Direct Lake.
Inheriting an Alteryx estate nobody fully documented and need to make it governed.
Already committed to OneLake, Purview, and Power BI, and want Alteryx off the exception list.
Running 50 or more production Alteryx workflows where manual rebuilding would take longer than the business can wait.
If a single analyst could rebuild your workflows directly in Power Query over a week, you probably don't need us. We'll tell you honestly which one you are.
No single cutover puts the whole platform at risk. Every wave closes with a decision gate and business-owner sign-off before the next one opens.
These are the questions enterprise buyers ask before committing. If yours isn't here, ask us directly.
We start with a workflow inventory and complexity assessment, then map each asset to a Fabric target — pipeline, Dataflow, or notebook. Every workflow is validated against its original output before it reaches production.
Partially. Our tooling generates a first-pass Fabric pattern for simpler workflows. Highly custom macros and nested dependencies usually need a manual rebuild, flagged during assessment rather than after conversion fails.
Workflows (.yxmd), macros (.yxmc), analytic apps (.yxwz), input/output connections, and scheduled jobs — each with a defined Fabric target in the asset mapping matrix above.
Formulas are rebuilt in Power Query M, Spark, or SQL depending on the target, not machine-translated line by line. Macros unpack into reusable Dataflow patterns or notebook functions.
A smaller estate typically runs six to ten weeks. Larger enterprise estates move in waves over several months, sequenced by business priority rather than a single fixed date.
Cost follows the complexity score from your assessment, not a flat per-workflow rate. We provide a scoped estimate after the assessment, not before it.
Yes. Every wave includes a defined coexistence window so both platforms run side by side until the business owner signs off on the Fabric version.
Every converted workflow is checked for record counts, schema match, and business-metric reconciliation, plus a performance benchmark, before it moves to production.
For most enterprise use cases, yes, once the migration accounts for governance, scheduling, and logic hiding in older macros. A small number of specialized self-service cases may need a case-by-case call — that's what the assessment is for.
Talk to Hexaview about scoping your migration. We start with a free assessment of what you're running today, map every workflow and macro to its Fabric target, and return a scoped migration plan before conversion work begins.
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