51–60 of 234 posts
I guess it’s time to go back to the well of managed/serverless Postgres options…
Congratz to neon team (i like what they built), but i don’t see the value or relation to databricks. I hope neon will continue as a standalone product, otherwise we lose a solid postgres provider from the market.
I applied to neon last week and then the news broke about the acquisition. They rejected it this morning — I have never been happier to receive a rejection to an application. This would’ve been three acquisitions straight for me and… I’m okay, they’re awful. I just want stability. Congrats to the neon team! I use and love neon. Really hope this doesn’t change them too much.
What happens to existing customers of Neon?
Most likely a holding state for a bit before databricks ruins it or shuts it down. I started looking around when the news broke last week or so for alternatives.
I'm seeing a lot of DBX hate in this thread overall. I think it's warranted. At Tower[0], we're trying to provide a decent open solution. It stars with owning your own data, and Iceberg helps you break free.
[0] - https://tower.dev
Hey everyone, I'm an engineer at Neon and I wanted to share this FAQ which covers a lot of the questions that are being brought up in the comments here: https://neon.tech/databricks-faq We're really excited about this, and will try to respond to some of the questions people have here later.
We’ve all read glowing blog posts and reassuring FAQs enough times after an acquisition only to see a complete about-face a few months or a year later.
I quite enjoyed using Neon but as a solo founder running my business on Neon I can’t help but think it’s insanity to not be looking for alternatives.
Databricks is _not_ a company I trust at all.
[0] if you don’t know, databricks acquired bit.io and shut down all databases within 30 days. Production databases had <30 days to migrate.
Is there an alternative for that? Scale-to-zero postgres, basically?
It's my understanding that Neon had some tech to basically "wake up" the DB when a request came out -- so you could "scale down to zero," if you will. I was hoping to explore this for small personal projects: I by far prefer Postgres and would love an isolated database per project. Is there an alternative for that? Scale-to-zero postgres, basically?
Earlier quoted context omitted.
Really hard disagree. Coming from hadoop, databricks is utopia. It's stable, fast, scales really well if you have massive datasets. The biggest gripe in have is how crazy expensive it is.
Spark was a really big step up from hadoop. But these days just use trino or whatever. There are lots of new ways to work on data that are all bigger steps up - ergonomically, performance and price - over spark as spark was over hadoop.