I’ve tried a few different operating systems for managing databases, and each one has its own perks.
what do you use for your database projects?
I use MacOS for most of my database work because it feels stable and flexible.
What OS do you prefer for database management?
Let me know in the comments!

I'm working on 𝗶𝗾𝘁𝗼𝗼𝗹𝗸𝗶𝘁 to make it the tool that actually tells you why things are slow.
It’s like getting a second opinion from a senior DBA, but in your terminal.
What's your dream MongoDB feature for a CLI tool?
#Database #iqtoolkit #MongoDB

IQToolkit Analyzer v0.3.0rc1 is out on TestPyPI. This RC focuses on contracts-first outputs, config validation, and CLI UX polish. Try it and share feedback.
Install (RC):
- pip: `pip install iqtoolkit-analyzer==0.3.0rc1`

Postgres logs scream about the victim, never the culprit. MongoDB logs are a haystack of JSON hiding one unindexed query.
I’m teaching 𝗶𝗾𝘁𝗼𝗼𝗹𝗸𝗶𝘁 to parse both. Whether it’s a silent lock or a massive scan, the tool should find it so I don't have to.
#Database #iqtoolkit #DevLife #MongoDB

I finally finished getting the CLI for iqtoolkit-analyzer into Homebrew!
Here's what you need to know to install it once v0.3-rc3 is released.
I just wrapped up adding the CLI to Homebrew. Once v0.3-rc3 is out, I'll share a simple guide on how to install it. Stay tuned for more updates!

IQToolkit isn’t a monitoring replacement.
It’s a second opinion for PostgreSQL + MongoDB.
The hard part isn’t “AI”.
It’s messy logs, edge cases, parsers, tests.
Goal: “why is it slow?” + “what do I fix first?” without black-box magic.

I’ve been digging deep into the real-world tradeoffs between PostgreSQL and MongoDB.
I'm building an AI toolkit to spot performance issues in PostgreSQL and MongoDB.
I want to know: What's your biggest pain point with database performance?
Let’s talk solutions!