beam VS TimescaleDB

Nice! We copied StyleX's "type-safe extensions" in Truss [1] so things like `` are allowed (setting margin is fine) while disallowing `` (anything "not margin") that would mess up the components internal impl details with a compile error.

That said, we don't actually use the feature that much, vs. higher-level logical props like ``.

I know we're supposed to use build-time CSS-in-JS these days, but afaiu they don't support the rare-but-handy "just spread together ~4-5 different object literals from ~random different conditionals + props", i.e. intermixing styles some inside the component + outside the component, which emotion handles really well.

Basically this [2]. StyleX says it does "cross-file styles"...but can it support that? I kinda assume not, but I'm not sure.

[1]: https://github.com/homebound-team/truss#xstyles--xss-extensi...

[2]: https://github.com/homebound-team/beam/blob/main/src/compone...

Homebound | Senior Full Stack Engineer | Full-time | Denver / Remote (US) https://jobs.lever.co/homebound/c645e77e-b65e-44cc-aaa7-ab57...

Homebound’s mission is to create a better way to build homes, leveraging technology to make custom homebuilding simpler and more transparent. We’re delivering on that promise in places that have been impacted by natural disasters, and now we’re expanding to serve customers across the country as they build their perfect home.

Our stack is TypeScript, GraphQL, React, and Postgres in AWS. Feel free to reach out! [email protected].

We open source as much as possible, if you want a glimpse into our stack:

- https://github.com/homebound-team/beam

Don't forget PostgreSQL extensions. For something like a chat log, TimescaleDB (https://www.timescale.com/) can be surprisingly efficient. It will handle partitioning for you, with additional features like data reordering, compression, and retention policies.

Offboard it to Postgres specialists like https://www.timescale.com/

TimescaleDB{:target="_blank"}: an extension of PostgreSQL that adds time-series capabilities to the relational database model. It provides scalability and performance optimizations for handling large volumes of time-stamped data while maintaining the flexibility of a relational database.

Have some experience with https://www.timescale.com in this context

What about getting in touch with commercial organisations that have products/services based on PostgreSQL? For example Timescale, EDB, and Citus Data, or really any hosting provider that offers a managed PostgreSQL service.

There is Timescale.

Friends don't let their friends choose Mysql :)

A super long time ago (decades) when I was using Oracle regularly I had to make a decision on which way to go. Although Mysql then had the mindshare I thought that Postgres was more similar to Oracle, more standards compliant, and more of a real enterprise type of DB. The rumor was also that Postgres was heavier than MySQL. Too many horror stories of lost data (MyIsam), bad transactions (MyIsam lacks transaction integrity), and the number of Mysql gotchas being a really long list influenced me.

In time I actually found out that I had underestimated one of the most important attributes of Postgres that was a huge strength over Mysql: the power of community. Because Postgres has a really superb community that can be found on Libera Chat and elsewhere, and they are very willing to help out, I think Postgres has a huge advantage over Mysql. RhodiumToad [Andrew Gierth] https://github.com/RhodiumToad & davidfetter [David Fetter] https://www.linkedin.com/in/davidfetter are incredibly helpful folks.

I don't know that Postgres' licensing made a huge difference or not but my perception is that there are a ton of 3rd party products based on Postgres but customized to specific DB needs because of the more liberalness of the PG license which is MIT/BSD derived https://www.postgresql.org/about/licence/

Some of the PG based 3rd party DBs:

Enterprise DB https://www.enterprisedb.com/ - general purpose PG with some variants

Greenplum https://greenplum.org/ - Data warehousing

Crunchydata https://www.crunchydata.com/products/hardened-postgres - high security Postgres for regulated environments

Citus https://www.citusdata.com - Distributed DB & Columnar

Timescale https://www.timescale.com/

Why Choose PG today?

If you want better ACID: Postgres

If you want more compliant SQL: Postgres

If you want more customizability to a variety of use-cases: Postgres using a variant

If you want the flexibility of using NOSQL at times: Postgres

If you want more product knowledge reusability for other backend products: Postgres

TimescaleDB is Postgres with extensions to automatically partition tables for fast processing of time series data.