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Article URL: https://www.nytimes.com/2024/10/30/technology/jeff-bezos-elon-musk-election.html

Comments URL: https://news.ycombinator.com/item?id=41998713

Points: 7

# Comments: 1

Even as mortgage rates fall, experts say they won't return their 2021 lows.

Forget about the pesky monthly fees that come with a cloud service subscription, and upgrade your storage at home for less.

Article URL: https://www.cnbc.com/2024/10/30/dropbox-slashes-20percent-of-global-workforce-eliminating-500-roles.html

Comments URL: https://news.ycombinator.com/item?id=41998293

Points: 1

# Comments: 0

Article URL: https://github.com/thunderbird/thunderbird-android

Comments URL: https://news.ycombinator.com/item?id=41998291

Points: 1

# Comments: 0

Article URL: https://arxiv.org/abs/2410.21771

Comments URL: https://news.ycombinator.com/item?id=41998277

Points: 1

# Comments: 0

Article URL: http://www.bailis.org/blog/safety-and-liveness-eventual-consistency-is-not-safe/

Comments URL: https://news.ycombinator.com/item?id=41998269

Points: 1

# Comments: 0

CNET’s experts found the best internet options in Maine. Find out what’s available at your address.

We tested the best nanny cams from Arlo, TP-Link, Ring and more. These are the best options that can help you keep an eye on your kid and home.

These online banks provide the best of banking: great rates, low fees and innovative technology.

Hello HN, one of the founders of Mooncake Labs here.

Today, we are launching pg_mooncake, an extension that brings columnstore tables with DuckDB execution to Postgres. Expect analytical performance akin to DuckDB on Parquet (clickbench results to come soon). You can run transactional updates, deletes, inserts on these tables, and they're written as Delta Lake tables (and soon Iceberg) to your object store (S3, etc.). pg_mooncake is live on Neon today. Let us know what you think. It'll be coming to Supabase shortly, and other Postgres providers in the future.

Why another postgres analytics extension?

We actually leverage pg_duckdb and DuckDB as our execution engine — this is how we were able to ship the extension in just 60 days. We wrote about this with the DuckDB team: https://motherduck.com/blog/pg-mooncake-columnstore/

pg_mooncake shines in two scenarios:

1. Up-to-date analytics in Postgres - This is where having a table semantics, and not just exporting files is key. 2. Exporting Postgres Data to Iceberg/Delta Lake tables, and querying them outside of Postgres - Run ad-hoc analytics with Pandas, DuckDB, Polars. Or data transforms and processing with Polars and Spark directly on these tables. You don’t need to manage ad-hoc parquet files and complex pipelines. Mooncake Labs.

We just came out of stealth today. Mooncake is a managed Lakehouse with clean Postgres and Python experiences. Our core belief is that open table formats (Iceberg and Delta) provide a lot of flexibility, and we can ensure great DevEx on top. We will bring it to more workloads, applications, developers and agents.

Read about our beliefs: https://mooncake.dev/blog/3.

Cheers!

Comments URL: https://news.ycombinator.com/item?id=41998247

Points: 5

# Comments: 0

Article URL: https://apnews.com/article/naomi-whitehead-oldest-person-north-america-pennsylvania-651add54d67511473a0cc1e4dadfac75

Comments URL: https://news.ycombinator.com/item?id=41998246

Points: 1

# Comments: 0

Article URL: https://jakelazaroff.com/words/my-modern-css-reset/

Comments URL: https://news.ycombinator.com/item?id=41998235

Points: 1

# Comments: 0

Article URL: https://www.youtube.com/watch?v=KrcIZDLb-3Y

Comments URL: https://news.ycombinator.com/item?id=41998221

Points: 1

# Comments: 0

Article URL: https://gitlab.com/schegge/freshmarker

Comments URL: https://news.ycombinator.com/item?id=41998202

Points: 1

# Comments: 0

Article URL: https://github.com/alvii147/gloop

Comments URL: https://news.ycombinator.com/item?id=41998200

Points: 1

# Comments: 0

I'm working on backend/data infra stuff at my current company and started to peek over the fence at how the ML team works and what tools they use. I'm quite a noob when it comes to ML and it seems MLFlow is quite liked by the community. However, it seems really rough around the edges, particularly when it comes to stuff like auth.

I've seen people suggest online that this has to do with Databricks' influence on MLFlow, keeping some of these enterprise features out of it to force people to a paid offering.

But it's got me wondering, are there any good open source alternatives to MLFlow?

Also, are people just using MLFlow tracking servers inside of e.g. SageMaker or the Databricks stack?

And then what is it that MLFLow is so good at?

Comments URL: https://news.ycombinator.com/item?id=41998196

Points: 1

# Comments: 0

Article URL: https://www.eff.org/deeplinks/2024/10/no-matter-what-bank-says-its-your-money-your-data-and-your-choice

Comments URL: https://news.ycombinator.com/item?id=41998192

Points: 2

# Comments: 0

Article URL: https://www.theverge.com/24275688/starlink-mini-review-battery-powered-backpack-comparison

Comments URL: https://news.ycombinator.com/item?id=41998176

Points: 1

# Comments: 0