Happy New Year; The Strong ARM of Apple

[K.S. Bhaskar]

We at YottaDB would like to wish you a Very Happy New Year for 2026.  We have a short blog post about YottaDB on Ubuntu Linux on Apple Mac Mini M2 pro hardware that you might find interesting: https://yottadb.com/the-strong-arm-of-apple/

Thank you for being part of the YottaDB community.

Regards
- Bhaskar

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YottaDB - The most scalable key-value database engine in the world?
Find out for yourself.

[iq100]

You left out the why?  Thank for your what results!
Now post why? Divide the why into hardware and software reasons.

The WORSE Row C and D results, in your table, with more CPUs,  and more/equal RAM, for Intel and AMD?
You did A GREAT half job.  Now at least attempt to figure out the WHY?
Advancing, not documenting is what YottaDB should aspire to?
Good data, if accurate and reproducible, but now do the WHY?

Thank you.
IQ100
https://tinyurl.com/Credit2Humanity

[Mark Sires]

It's hardly the job of a software company to explain why one processor architecture performs better than another.  That is a question that Intel and AMD will have to respond to.

[iq100]

Happy New Year, to you!!

The job of a software company is excellence.  Perhaps the moral imperative of everything?
Optimal algorithms, and their coding, greatly benefit from an understanding of the hardware.
In fact, it may be more the reverse. Hardware architecture arises from the need for algorithm's codings, to run fast.
I trust that is the goal of YottaDB?
Here is but one example:  https://youtu.be/o22BAuQj3ds?t=4882

[K.S. Bhaskar]

I think the WHY is straightforward: Apple makes some extremely fast ARM CPUs. We spend a great deal of effort in optimizing YottaDB - e.g., see https://yottadb.com/critical-section-performance-in-r2-04/ - but ultimately it's up to to hardware designers to make the best CPUs, and it's up to software designers to make the best of their CPUs.

Regards

- Bhaskar

On Tuesday, December 30, 2025 at 9:27:43 PM UTC-5 iq100 wrote:

[Rob Tweed]

ARM-based Apple Macs have always delivered stellar performance when running YottaDB under Linux (which you can enable using the excellent free UTM software).  I've used an M1 Mac Mini, an M3 Macbook Air and, most recently an M4 Pro Mac Mini, the latter producing just crazy performance figures for YottaDB.

The cool thing is that if you dockerise everything, you can run the exact same ARM-based containers on a Raspberry Pi or a top-end Mac, and everything will run identically, just at very different speeds.  I sometimes jokingly refer to my Raspberry Pis as M0 Macs :-)

[Mark Sires]

ARM-based Macs give stellar performance on everything.  I use Parallels, and have Linux and Windows running happily on my M4 Macbook pro.  Unified memory also give the Mac excellent performance running AI models locally.  Claude desktop is one of the best AI performers I've found so far.  Now I'm working on using the Python API to develop some agents for YottaDB databases.

[Greg Kreis]

The Snapdragon X2 Elite Extreme, introduced at CES, looks to give the M4 a serious contender but the M5 pulls away (X2's 80 TOPS vs M5's 133 TOPS) and of course the ultimate edge - the Apple walls around their garden. ;-)

It would be interesting to see any performance stats for YottaDB on Snapdragon.

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Greg Kreis
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[Ar “art”]

Also. On apple UTM. Can run 386. Amd64. Running gtm and yottadb   Is fast

Utm also supports ios. I have tried yet yottadb on iphone

Happy New year

Art