Visual ETL
DataQloo: A Visual ETL Tool for Enterprise Data
Build extract, transform, and load workflows on a visual canvas — connect to your databases and files, shape the data, and see the exact SQL it runs.
What "visual ETL" means here
DataQloo represents each ETL stage as a node: Input for extract, Filter and Summarize for transform, Output for load. The workflow reads top to bottom on the canvas — no script to read line by line to understand what it does.
Where it's a strong fit today
If your transformation needs are filtering, grouping, aggregating, or sorting your data, DataQloo's current node set covers that directly, with the compiled SQL always visible for verification.
Where it isn't yet
Broader transform types (joins, pivots, formulas) and additional connectors are on the roadmap, not available today. See DataQloo vs. Alteryx for how it compares to more established visual ETL tools.
Related reading: What Is ETL?, What Is a Visual Workflow Builder?
Frequently asked questions
Each stage of ETL — extract, transform, load — is a node on a canvas: an Input node connects to a source, Filter and Summarize nodes transform it, and an Output node loads the result into Platform Storage.
See DataQloo’s Visual Designer for yourself.