Postgres still has a ways to go for scale but has improved substantially in replication options since that 2017 article. Sharding has also seen a lot of upstream patches from enterprise db and other commercial providers since then. Upgrades in particular are still a sore spot.
Also note that folks aren’t running giant vanilla MySQL clusters. They’re running it through vitess or home grown tools with similar functionality.
Finally MySQL gets performance in these large setups by turning off features like foreign keys, acid guarantees etc. it’s awesome and powerful that you can do this in MySQL but it’s not apples to apples here. MySQL has also improved a lot on these dimensions in the last few years.
The other reality here is that on nvme hardware with a few tb of ram you can get away with a basic reader writer replica setup for a long time.
Vanilla MySQL vs vanilla Postgres. MySQL still wins on scale. You run single MySQL servers with 70,000 connections, you can't get close on Postgres because of a fundamentally broken connection-per-process model. The Neon team suggested changing that and got flamed by the community.
I was at GitHub in 2017 when that GitLab outage happened. We had 60 million users running on vanilla MySQL no Vitess at that point. We had 10 million users literally running on 3 MySQL servers. Don't pretend that even now Postgres can do that.
However, you can absolutely run that many users on a Postgres cluster of that size today on modern hardware. Connections are absolutely a sore point and probably my number one pain point as a Postgres admin day to day. Pg bouncer is incredibly easy to run though. You rarely actually need 70,000 connections most will be idle most of the time anyway it’s not like MySQL can actually serve 70,000 queries on 70,000 connections simultaneously. But it certainly makes administration and the programming model more difficult.
While MySQL being able to scale is nice and all, it's had serious problems with even keeping basic data integrity for the data people hand it... for decades.
This is the root of it all - for years and years MySQL was perfectly capable of doing the needful, but it shipped with default configurations that would do things like use "not_quite_really_UTF8" and "myisam_tables_please_no_acid".
If you knew enough to switch to innodb and "mysql_real_utf8_string" or whatever it was, you had a quite performant and stable system.
There have also been numerous horror stories where people discovered (after the fact) that MySQL wasn't storing their data as given, but instead internally silently converting it to some other format/type and storing that.
People that directly experienced this very thing will probably chime in to give examples (etc). :)
You hit the nail on the head, those were my top two complaints, but the rabbit hole goes deep.
It's not an exaggeration to say that trying to keep mysql from corrupting your data feels like a full-time job. Mysql in many ways, especially as used by massive social media companies early on was closer to a SQLish DSL for a non-transactional kv store than a "real" ACID database.
That's why "but it can do 70k rps" is just noise to someone. I don't care how fast it can lose my data.
I'm all for people needing to read the docs but man a database burns trust pretty fast when it's so easy to have it pretend to support transactions or pretend to support utf8.
That was my biggest gripe with it - at least back in the day. Back then it really felt like MySQL vs Postgres was a trade-off between 'easy but no guarantees on data integrity' and 'correct but operationally harder to manage'.
The gap has for sure closed in many areas but I still feel safer with Postgres today because there's been little reason for me to try MySQL again.
Can we restrict our discussion to the situation now. If default configs result in data corruption, that's an issue. If an older version in the past decade does, that's of less interest.
MySQL's default storage engine has been InnoDB -- a high-quality OLTP storage engine which is fully ACID compliant -- for thirteen years now.
Meanwhile MySQL's default settings have included strict sql_mode (giving a hard error on data type mismatches, overflows, etc) for eight years.
These have been available as non-default options for 20+ years, and larger MySQL users have long enabled them before they were defaults.
Yes, the defaults certainly should have changed earlier, especially re: strict sql_mode, I won't dispute that. However on the default storage engine side, the historical reasoning makes perfect sense: InnoDB and MySQL were owned by different companies. Oracle purchased the makers of InnoDB in 2005 and didn't purchase Sun (incl MySQL) until 2010. Once both products were owned by Oracle, they made InnoDB the default storage engine in the next major MySQL release that same year.
In any case, your claims of "decades of misleading marketing" about transactions is completely fictional. This simply did not happen for "decades" and has not been a discussion point of any sort for a very, very long time. Serious MySQL shops were never using MyISAM at scale in the first place.
You chose to come into a thread about MariaDB, you wrote some verifiably factually incorrect statements about MySQL, and then you complain about not having the energy to discuss further?
I took time out of my Sunday to write a fact-based rebuttal to your false claims in this thread. The dates in my comment are all verifiable on Wikipedia, among other places. And yet your response is childish repetition, followed by a citationless comment claiming that my own comment was misinformation.
Since you're a Golang enthusiast (as am I), perhaps I can reframe this in a more relatable way. Imagine that it's the year 2035, and there's an HN thread about Golang. Some Go-hater chimes in that no one should ever trust Go because of decades of misleading marketing ("no one needs generics!"), GOPATH being stupid, and lack of a module dependency system. What would your response to this be in 2035, knowing full well that these issues were far in the past and that the claim of "decades" is at best an extreme exaggeration?
A decade is 10 years. Plural decades means 20 or more years.
You claimed MySQL made decades of misleading marketing about transactions. That would mean they were making such statements in 2015 or later.
That is verifiably factually incorrect, considering that InnoDB (a fully ACID-compliant storage engine) was made the default storage engine in 2010, and prominent MySQL users had already switched to InnoDB en masse from 2005 to 2008, some even earlier. The previous storage engine (MyISAM) was garbage that wasn't even crash-safe, so at scale its deficiency was plainly obvious.
I am not posting "bullshit" or "trolling". Your statement was incorrect and this is simple date math.
I have 5 million users running on PostgreSQL, 3 dedicated servers (primary + 2 replicas), we use less than 190 connections, vanilla PostgreSQL and no things like pgbouncer.
> Finally MySQL gets performance in these large setups by turning off features like foreign keys, acid guarantees etc.
Large MySQL users are generally not turning off acid guarantees. That is nonsense. What settings are you even specifically referring to with this?
On the durability side, large MySQL shops only mess with innodb_flush_log_at_trx_commit if there's a safe distributed durability mechanism in use (e.g. synchronous or semi-synchronous replication). Or perhaps if the data is ephemeral/recomputable, but that's a similar use-case to running Postgres on a ramdisk.
On the isolation side, MySQL supports READ UNCOMMITTED (unlike Postgres) but it is very rarely used. Only useful for some specific situations. fwiw MS SQL Server supports it too, it's not a MySQL specific thing.
Also note that folks aren’t running giant vanilla MySQL clusters. They’re running it through vitess or home grown tools with similar functionality.
Finally MySQL gets performance in these large setups by turning off features like foreign keys, acid guarantees etc. it’s awesome and powerful that you can do this in MySQL but it’s not apples to apples here. MySQL has also improved a lot on these dimensions in the last few years.
The other reality here is that on nvme hardware with a few tb of ram you can get away with a basic reader writer replica setup for a long time.