A plain comparison of self-hosted vs. cloud data warehouses across cost, control, compliance, and scale, so you can match the model to your team's actual constraints instead of the industry default.
WhoDB
Data lineage tells you where data came from, how it changed, and where it went. Here's what data lineage actually means, with a real example.
WhoDB
Why WhoDB replaced handwritten SQL with a visual data pipeline builder. Faster ETL, fewer errors, and pipelines anyone on the team can read.
WhoDB
What happens when a company's entire pricing logic lives in one spreadsheet nobody fully trusts anymore? We rebuilt it from the ground up.
WhoDB
The hidden cost of a fragmented data stack isn't infrastructure. It's the decisions you never make.
WhoDB
Businesses don't struggle with a lack of data. They struggle with getting answers from it quickly. This blog explores why traditional dashboards fall short, and how WhoDB's Enterprise Chat gives teams a faster, more flexible way to query live business data across all their existing systems.
The conversation around sovereign AI is getting louder. Here's what it actually requires, from someone building the infrastructure behind it. By Anguel Hristozov, Co-founder & CTO, Clidey
New posts on WhoDB, data tooling, and running critical infrastructure — straight to your inbox.
reportreport.pdf75 KBdownload-circlereport.pyreport.py.zip1 KBdownload-circle An exact symbolic check of a proposed polynomial map in three variables Attribution. The polynomial map and the claimed observation discussed here are credited to Levent Alpoge, based on the supplied announcement and post. That source also describes the result as
Manual spreadsheets were slowing down inventory planning. See how one premium retailer used AI to automate allocation, replenishment, and consolidation while improving inventory productivity and customer availability.
A privileged access management company had enterprise-grade security. Secure access is only half the job. The other half is making sure people can actually use it. Their database UX told a different story.
Why Modern Teams Need More Than a Database Explorer
Most engineering teams don’t rely on a single database anymore. Modern stacks are a mix of specialized systems: Postgres for transactions, Redis for caching, Elasticsearch for search, Neo4j for relationships, object storage for files, and vector databases for AI. The hard part is managing them all.
The Last Seed Script You'll Ever Write You know the feeling. You just pulled the latest changes from the repo. You run docker compose up. The containers spin up green. You open your localhost port. And the app is empty. It's a ghost town. No users.
Why We Built a Database Client for the Terminal (and Made It an MCP Server) I live in the terminal. If you’re reading this, you probably do too. For years, my workflow for checking a database record looked like this: I’m writing code in Neovim or VS Code.
Keep Your Data Secrets Safe: Why Your Schema is Your Most Valuable Intellectual Property (And How Not to Leak It)
Why Your Database Client Is Costing You More Than You Think
What if Your Database Tool Was Actually Fun?
WhoDB ❤️ Postgres: Unlocking New Levels of Productivity and Insight
We Built WhoDB to Fix That