Data Pipeline Builder
DataQloo: A Visual Data Pipeline Builder for Enterprise Data
Build the steps of a data pipeline on a visual canvas — connect, clean, and shape data from your databases and files — and see exactly what SQL runs.
Building a pipeline's steps, visually
A DataQloo workflow is a pipeline's transformation logic made visible: an Input node connects to a source, Filter and Summarize nodes reshape it, and an Output node writes the result to a reusable dataset — all inspectable on one canvas, with the compiled SQL visible in the results panel.
What "pipeline" implies that isn't built yet
A production pipeline usually runs on a schedule, unattended. DataQloo workflows run on demand today; scheduled, automated execution is on the roadmap. If your definition of "pipeline" requires unattended scheduled runs, that's a gap to plan around, not a solved problem yet.
Related reading: What Is a Data Pipeline?, DataQloo vs. Apache Airflow
Frequently asked questions
DataQloo builds the transformation steps of a pipeline visually today. Automated, scheduled runs of a workflow are on the roadmap — today, workflows run on demand.
See DataQloo’s Visual Designer for yourself.