Power BI Dataflow is prep that lives inside the Microsoft stack and runs on Fabric capacity. Refyner preps and schedules on the Snowflake you already own – with eCommerce and subscription models built in, run by your analysts.
Good at shaping data for Power BI reports – but it's prep only, it leans on Fabric capacity, and the eCommerce and subscription logic is yours to build. Scheduling means dataset refreshes, not a real orchestration layer.
One tool that preps and schedules everyday dataflows as pushdown on your own warehouse, with LTV, repurchase, MRR, churn and retention already built – and an analyst, not an admin, in control.
| Refyner | Power BI Dataflow | |
|---|---|---|
| eCommerce & subscription models built in | Yes | Build it yourself |
| Built & run by analysts | Yes | Partly – admin-led |
| Prep and schedule in one place | Yes | Prep only – refresh, not orchestration |
| Runs on your Snowflake | Pushdown | Fabric capacity |
| Independent of a BI vendor stack | Yes | Tied to Microsoft Fabric |
| Supported, with an SLA | Included tier | Microsoft support |
Comparison is directional and reflects typical eCommerce/subscription use on Snowflake.
Full eCommerce and subscription models populate on connect – instead of rebuilding the logic in Power Query and DAX, report by report.
Orchestrate dataflows with monitoring and run logs – not just dataset refreshes inside a report workspace.
Pushdown on Snowflake keeps your data in one place and off a separate Fabric capacity you have to size and pay for.
If your whole analytics stack lives in Microsoft Fabric and your prep exists mainly to feed Power BI reports, Dataflow is a natural fit. Refyner is the better choice when your warehouse is Snowflake, you want prep and scheduling in one place, and you'd rather start from eCommerce and subscription models than build them in Power Query.
See Refyner against the dataflow you'd otherwise build in Power BI – this week.