>The Only Programming Language Built on Mathematics, Not Fashion
As a modern array language D4M is the natural successor for SQL [1].
D4M is based on mathematics like SQL, specifically associative array algebra but not relational unlike SQL. It's more generic since can it caters to most modern data abstractions including spreadsheets, database tables, matrices, and graphs [2].
You can achieve 100M database inserts per second with D4M and Accumulo more than a decade ago back in 2014 [3].
[1] D4M: Dynamic Distributed Dimensional Data Model:
[2] Mathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs:
https://direct.mit.edu/books/monograph/5691/Mathematics-of-B...
[3] Achieving 100M database inserts per second using Apache Accumulo and D4M (2017 - 46 comments):
There is no SQL successor: SQL is here to stay.
Applying the Lindy effect [1]: after half a century of SQL we can expect it to survive for at least as long.
Disruption/displacement of SQL is like attempting to replace email. It's not going to happen. At best an alternative technology can carve out a small niche (and there's nothing wrong with that).
[1]: https://en.wikipedia.org/wiki/Lindy_effect
That wikipedia article was super interesting, I'd never heard of the Lindy Effect before. A bit difficult to wrap my noggin around but really fascinating to think about.
Read the books of Nassim Taleb. They are full of this kind of interesting stuff. Sadly, he blocked me on twitter back when I asked him why he had a paid subscription for a self-described communist hardcore-Putinist hardcore-Antisemite :/
Never heard of the Lindy effect either, learn something new from this site every day haha
It was made famous by Nassim Nicholas Taleb in Incerto.
> >The Only Programming Language Built on Mathematics, Not Fashion
Fortran would like a word. The name literally means "Formula Translation"
The only one? As opposed to ... Haskell, LISP/Scheme in the original SICP version, and proof assistant languages like Lean.
First impressions assuming the goal is to replace the incumbent SQL. Haven't seen the language yet.
The power of SQL is not because it is "based on mathematics" - it's because anyone (really, anyone, even with the most basic English skills) could understand it quickly enough to start using it productively with not much technical knowledge. Business analytics, managers of all sorts, manual QA people could grasp the basics in a minute and more complex queries within a few hours. It is very user-friendly and such tools win over anything else. Each time I see an overengineerd/overcomplicated solution that is hard to read/understand - I know it's only "good luck" to the creators.
i'm probably pretty dumb but i don't really get what's so mathematical about sql.
https://en.wikipedia.org/wiki/Relational_algebra
Sounds interesting, but how can I use it to talk with an Oracle/MySQL/PostgreSQL database?
This seems like just another NoSQL db, but with fancier words.
I feel you missed the point of the article :)
I feel like the point of the article was "hey chatgpt write me an article about SQL"