11–20 of 234 posts
Maybe unrelated but Databricks is the most annoying garbage I have ever had to use. It fascinates me how anyone uses it by choice.
Maybe unrelated but Databricks is the most annoying garbage I have ever had to use. It fascinates me how anyone uses it by choice.
Today it suffers from feature creep and too many pivots & acquisitions. That they are insanely bad at naming features doesn't help either.
I’ve loved Neon and now I’m a little worried. Are there any alternatives?
[Disclaimer: I work for Xata] As it happens, we've just launched our new Xata platform ( https://xata.io/ ) which has some of the key Neon features: instant copy-on-write branching and separation of storage and compute. As an extra twist, we also can do anonymization (PII masking) between your production database and developer branches. The way we do copy-on-write branches is a bit different. We haven't done any modi…
Maybe unrelated but Databricks is the most annoying garbage I have ever had to use. It fascinates me how anyone uses it by choice.
The biggest gripe in have is how crazy expensive it is.
Guess this is the beginning of the end of a great service, not holding my breath. Sounds like from the WSJ article that they’ll just become some AI agent backend service for Replit, and from the previous conversation on HN that Databricks ruins and shutters their acquisitions. Congrats on the big payout for the employees, though.
Maybe unrelated but Databricks is the most annoying garbage I have ever had to use. It fascinates me how anyone uses it by choice.
Can't imagine someone incapable of building a website would deliver a good (digital) product.
I really do hope that their OSS strategy does not change due to this, as it's really friendly to people who want to learn their product and run smaller deployments. It's (intentionally or not) really hard to run at a big scale as the control plane is not open-source, which makes the model actually work.
Maybe unrelated but Databricks is the most annoying garbage I have ever had to use. It fascinates me how anyone uses it by choice.
The product is still centered Spark, but most companies don't want or need Spark and a combination of Iceberg and DuckDB will work for 95% of companies. It's cheaper, just as fast or faster and way easier to reason about.
We're building a data platform around that premise at Definite[0]. It includes everything you need to get started with data (ETL, BI, datalake).