Comparison
DataQloo vs. Power Query
Power Query is Microsoft's data-shaping tool embedded inside Excel and Power BI, using its own M language under the hood. Teams evaluating it are often looking for a standalone, shareable workflow tool that isn't tied to a spreadsheet or BI report.
| Capability | DataQloo |
|---|---|
| Visual, step-based workflow building | Available |
| Standalone tool — not embedded in a spreadsheet or BI report | Available |
| PostgreSQL connector | Available |
| Generated SQL visible for every workflow | Available — Power Query generates M, not SQL |
| Built-in column profiling (fill rate, distribution, type inference) | Available |
| Shared, multi-user workspace with access control | Available |
| Excel / Power BI integration | Not available |
| Pricing during early access | Available — free |
Where DataQloo is a good fit today
If you've outgrown doing data prep inside a spreadsheet, DataQloo gives you the same step-by-step shaping experience — filter, summarize, sort — as a standalone, shareable workspace, with the underlying query visible if you want to check it, rather than a hidden M query inside a workbook.
Where Power Query still has more ground covered
Power Query's tight integration with Excel and Power BI, plus its very broad set of data-shaping transforms (built up over many product versions), goes further than DataQloo's current node set. If your output destination is specifically an Excel workbook or Power BI report, Power Query's native integration is more direct today.
Roadmap
A dedicated file-export output node and a broader transform library are on DataQloo's roadmap.
Frequently asked questions
Conceptually close — both let you shape data step by step on a visual surface. DataQloo is a standalone workspace (web or desktop) with role-based access for a team, rather than a feature embedded in Excel or Power BI, and the underlying query is visible if you want to check it, rather than a hidden M script.
See DataQloo’s visual workflow builder for yourself.