Big data on the cheapest MacBook
121–130 of 321 posts
Re: Big data on the cheapest MacBook
#122[flagged]
And MacBooks also have a better display and build quality. Like, touchpad is still hit or miss on any non-Apple device.
Re: Big data on the cheapest MacBook
#123[flagged]
> And I have a hard time believing people who tell me stories about low power consumption, because no one had cared about that until Apple pretended people cared about it. That’s because battery life was pretty mediocre across the board, with Apple occasionally squeaking out a bit of an upper hand on the Air. Most laptops were in the same boat, aside from gaming and workstation laptops but battery life has never been…
I think most people who are so wowed by Macs bought just a garbage Windows Machine (e.g. almost everything from Asus and Acer) before and then splurged the money for a nice one, so obviously it's so much better in comparison.
Re: Big data on the cheapest MacBook
#124I’ve been tempted to buy one and do “real dev work” on it just to show people it’s not this handicapped little machine. I built multiple iOS apps and went through two start up acquisitions with my M1 MBA as my primary computer, as a developer. And the neo is better than the M1 MBA. I edited my 30-45 min long 4k race videos in FCP on that air just fine.
It will do real work fine. But slack and a browser will bring it to its knees.
Can we please just move on? Maybe get your hardware checked if you’re legitimately still having these issues.
Re: Big data on the cheapest MacBook
#125I’ve been tempted to buy one and do “real dev work” on it just to show people it’s not this handicapped little machine. I built multiple iOS apps and went through two start up acquisitions with my M1 MBA as my primary computer, as a developer. And the neo is better than the M1 MBA. I edited my 30-45 min long 4k race videos in FCP on that air just fine.
Re: Big data on the cheapest MacBook
#126Earlier quoted context omitted.
It's starting to show its age, but I've been using a 2019 MacBook Pro with the Intel chip and 16GB of memory. Still handles multiple terminal sessions with Claude Code and Codex simultaneously, building in Xcode, running Docker in the background, etc. (Maybe the fans sometimes sound like they're a jet engine taking off…) Finally just put an order in for a new 16" MBP M5 Max with 48GB memory only because it looks like…
Well, Claude Cod and Codex should be doing most of their heavy lifting in the cloud?
Obviously the LLM inference is super heavy, but the actual work / task at hand is being executed on the device.
Re: Big data on the cheapest MacBook
#127Re: Big data on the cheapest MacBook
#128Earlier quoted context omitted.
It's starting to show its age, but I've been using a 2019 MacBook Pro with the Intel chip and 16GB of memory. Still handles multiple terminal sessions with Claude Code and Codex simultaneously, building in Xcode, running Docker in the background, etc. (Maybe the fans sometimes sound like they're a jet engine taking off…) Finally just put an order in for a new 16" MBP M5 Max with 48GB memory only because it looks like…
Well, Claude Cod and Codex should be doing most of their heavy lifting in the cloud?
Re: Big data on the cheapest MacBook
#129Re: Big data on the cheapest MacBook
#1302025-09-08 : "Big Data on the Move: DuckDB on the Framework Laptop 13"
"TL;DR: We put DuckDB through its paces on a 12-core ultrabook with 128 GB RAM, running TPC-H queries up to SF10,000."
https://duckdb.org/2025/09/08/duckdb-on-the-framework-laptop...