Visual Workflows: Instead of writing Python or SQL, you use visual “tools” connected by lines to show exactly how data is being processed. This also acts as built-in documentation for the entire workflow. No-Code / Low-Code: Users ranging from data scientists to Excel-heavy business analysts can easily clean, transform, and analyze large datasets. Time-Saving Automation: Tasks that once took hours of manual work in Excel or MS Access can be automated and run with the click of a button. Powerful Integrations: It connects easily with cloud platforms, databases, and visualization software like Tableau and Power BI. Specialized Tools: It really shines in areas like geospatial (GIS) analysis and third-party data enrichment. Review collected by and hosted on G2.com.
nothing so far, works as expected, will see Review collected by and hosted on G2.com.
