Blog
Engineering notes and product updates from the team building DataQloo.
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Product
Why We Show You the SQL: A Case Against Black-Box Data Tools
A visual canvas that hides what it's actually running is asking for blind trust. We think that's the wrong default.
Engineering
How DataQloo Compiles a Visual Workflow Into SQL
Every node you drag onto the canvas becomes part of a single parameterized query. Here's what that compilation step actually does.
All posts
"Coming Soon" Means Coming Soon: Why Our Roadmap Is Public
Every unfinished feature on this site is labeled, not hidden. Here's why we built it that way from the start.
Building a Filtered Revenue Report Without Writing SQL
A walkthrough of building a real workflow — connect, filter, summarize, sort — on the canvas, and what the compiled SQL looks like underneath.
PostgreSQL vs. MySQL for Analytical Workflows
Both are solid relational databases. Here's how they actually differ for the kind of filtering and aggregation work a visual workflow tool does.
Data Profiling Isn't Optional: What We Check Before You Build a Workflow
Fill rate, distinct counts, distributions — the questions worth asking about a dataset before you trust a report built on top of it.
PostgreSQL Data Types, and How DataQloo Infers Them
A column's declared PostgreSQL type is only half the story. Here's how DataQloo's Schema tab infers the more useful, semantic type underneath.
Why We Show You the SQL: A Case Against Black-Box Data Tools
A visual canvas that hides what it's actually running is asking for blind trust. We think that's the wrong default.