Learn
SQL vs. Visual Data Prep: Which Should You Use?
Writing SQL directly and building a workflow visually solve the same problem differently. Here's how to think about the tradeoff.
Two ways to solve the same problem
Writing SQL gives you full control and, in experienced hands, is often faster to produce than clicking through a UI. Visual data prep trades some of that flexibility for accessibility — someone who doesn't write SQL can still filter, group, and sort data by configuring nodes on a canvas.
The real difference is legibility, not capability
A well-written SQL query and an equivalent visual workflow can produce the same result. What differs is who can understand it later. A query is legible to someone who reads SQL; a workflow canvas — done well — is legible to a wider audience, including the query's own author six months later.
DataQloo's approach
DataQloo's Visual Designer is built so the visual layer isn't a replacement for SQL, but a way to construct it — every workflow's SQL tab shows the exact, parameterized query the canvas compiles to. You get the readability of a visual canvas without losing visibility into what's actually running.
See also: What Is a Visual Workflow Builder?
Frequently asked questions
For complex logic, yes — hand-written SQL (or a full programming language) can express things a visual tool's current node set can't. The tradeoff is that visual tools are typically faster to configure and easier for a non-specialist to read.
See DataQloo’s Visual Designer for yourself.