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Migrate from Power BI

From Power BI to Apache Superset — without breaking your analysts

We translate DAX and the data model into Superset's semantic layer, rebuild the dashboards that matter and ship them to production — so the business never feels a dip in reporting.

  • Power BI
  • DAX → SQL / dbt
  • Apache Superset
  • Dataflows

When this matters

Power BI works great while you're inside the Microsoft ecosystem and are fine with per-user licenses and Premium capacity. The moment external users, custom metric logic, embedded scenarios or long-term cost predictability enter the picture, the model stops adding up.

We help you migrate to Superset without a revolution: we keep the semantics that matter, clean up duplicate metrics along the way, and preserve the views your team is used to.

What a Power BI migration looks like

How the move is structured

  1. 01

    Power BI inventory

    We audit workspaces, reports, datasets and dataflows: what's actually used, where duplicates hide, which semantics are business-critical and which are legacy artefacts.

  2. 02

    DAX translation

    We break down DAX measures and calculated columns and translate them into SQL / dbt / Superset's semantic layer — preserving meaning, not copying strings, with diff tests on the way out.

  3. 03

    Datasets and dataflows

    We replace dataflows with a proper ELT on your warehouse (dbt / Airflow) so refreshes stop being a black box inside Power BI and become an engineered pipeline.

  4. 04

    Number parity checks

    For every key metric we run historical-period comparisons Power BI vs Superset — acceptance is by a diff table, not "looks about right".

Stack

Power BI (source)Apache SupersetdbtSQLDAX (translation)

Scoping a Power BI move?

Let's look at your Power BI stack and estimate a real migration timeline

On the call we look at workspaces, key reports, DAX complexity and integrations. You leave with a scoped migration, block-by-block complexity, and a proposed phased plan.

  • Inventory of current Power BI assets
  • DAX complexity estimate
  • Datasets → warehouse / dbt mapping
  • Parity-check plan for key metrics
  • Pilot timeline and format

On the call we look at workspaces, key reports, DAX complexity and integrations. You leave with a scoped migration, block-by-block complexity, and a proposed phased plan.

Book a call