PostgresML raises $4.7M to launch serverless AI app databases based on Postgres
postgresml.org
postgresml.org
Wow, yeah! This is spelled out exactly. I do wonder if they have written approval for this? Not that this is any of my business, of course!
This maybe seems like a dumb question if you spend your life thinking about it, but I'm not seeing what the interesting relationship is between those two things.
The example there makes it immediately obvious what it does and I won't repeat it here. If it's not clear to you probably you are not the target market.
But they are not a publicly traded company so adding a keyword won't do much for the stock. It must be something more.
Yes, it must be an actual tech to run ML workloads inside the Postgres instance, where all the data is readily available.
This is just announcement for the fundraising. See its landing page for what it actually does. It has full code examples in the main section, which makes it very clear. It has many more examples throughout the landing page. Also the docs seems to be of quite good quality.
I don't think he's in the cult of anti AI, although with headlines like this one, which I myself don't fully get, I can see how that "cult" will grow over time. If you're working on amazing AI projects, please make sure you are not just throwing marketing buzzwords around, make sure people understand what the purpose of your work is, what it solves or what it can be used to solve, then say "using AI space interconnected elector" or whatever its actually using to solve those problems.
Something I think about often is that people who study cults don't use the word cult to describe them. It's too broad, dismissive, and negatively associated to be useful for actual curious work. Anyway.
It feels like a mismatch to me
They both do ML in the database, but we've been at least as focused on scalability for Postgres workloads as ML functionality, with our PgCat project. It's a pooler that gives us load balancing, sharding, failover etc to handle large clusters of many machines for application and inference workloads to scale horizontally.
OTOH MindsDB interconnects with just about every data source out there, which you may consider an advantage.
I will learn and grow and that's fine.
But at some point I have to accept ballpark limitations.
If I read a promotion for a product and I can't tell what it does - I'm not going to do homework to find out what it means. I'll just accept that this product is for people who have ascended to a higher level of existence.
I'm sure if I get to a point where I need a product like this - I'll write the correct google search and this will pop up.