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, with the underlying SQL visible rather than an M query.

CapabilityDataQloo
Visual, step-based workflow buildingAvailable
Standalone tool — not embedded in a spreadsheet or BI reportAvailable
PostgreSQL connectorAvailable
Generated SQL visible for every workflowAvailablePower Query generates M, not SQL
Built-in column profiling (fill rate, distribution, type inference)Available
Shared, multi-user workspace with access controlAvailable
Excel / Power BI integrationNot available
Pricing during early accessAvailablefree

Where DataQloo is a good fit today

If you've outgrown doing PostgreSQL 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 actual SQL visible, 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 for the PostgreSQL case — 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 it shows the generated SQL directly rather than an M query.

See DataQloo’s visual workflow builder for yourself.