MySQL

“And we had MySQL as the metadata store, and it was just puking on itself. And so they had to take that and bring in a new thing called FoundationDB to do that. And doing that was a six-month project.”

“In the internet age, all the startups began with Oracle and Sun. And eventually they all moved to Linux and MySQL. And so there was a, we got to win it all cost phase. And then there was a phase where you started worrying about cost and optimization. And so on…”

“We are a no-code platform letting you build your own AI agents easily. So you can think of, we are to Langchain as Airtable to MySQL. Like you can just pin up AI agents super easily by clicking around and no code required. You didn't have to be an engineer and…”

“Interestingly, when you have a distributed database, you actually have a single point of failure, and now we don't have a single point of failure for any, or every customer has a single point of failure with backups, of course, but you can't, like, take out ou…”

“ChatGPT wrapper thing is actually just wrong. It's like saying that all of SaaS and cloud are basically, you know, MySQL wrappers. It doesn't make any sense.”

“It's really important to me that people view this as a technology. It is like your MySQL database. MySQL was very popular 20 years ago, right? Like it was super cool what it could do. And it's still cool, but if you try to go raise money on you've built a form…”

“I would just recommend going through to warehouse as soon as possible. I think a lot of people feel that MySQL can be a warehouse, which can be maybe on like a lower scale, but you know, like, definitely not from a performance perspective. So just kind of havi…”

“In building this, we were building with InfluxDB, OrientDB, DynamoDB and MySQL.”

“Google didn't replace that system with Spanner, I think for almost 10 years. So by that time it had gotten to a thousand plus shards of MySQL.”

“The way they scaled Facebook was to have a completely separate PHP instance running for every school that they copy and pasted the code to. They would have a separate MySQL server for every school, and they would have like a memcache instance for every school.”

“Every time you would log in, it would calculate how many people were two degrees of separation from you. And it would fire off on MySQL thread where you would log in, it would look at your friends and it would calculate your friends and friends and show you a …”

“Business people are afraid of abandoning even a product they hate that's overpriced.”

“Like we had fifteen million users who paid us nothing. And then we had 12,000 customers who paid us money.”

“He was doing product-led growth in 2003. So like literally like you download MySQL and then they sell you an enterprise version. Yeah. So I, you know, we haven't really changed that much in 18 years collectively as an industry.”

“So data engineering at Pinterest comprises the serving part, all the online systems. So that includes the online databases like MySQL and key value stores like RocksDB and HBase, and also includes Druid platform. So we have our online systems. We also have all…”

“Facebook happens to run the largest MySQL deployment as well.”

“Also, also just, like, raw engineering power, like, Facebook has hundreds of engineers to deploy something like MySQL, you know, and then the weekend hacker has to do it themselves, and it's just, like, there's an asymmetry in terms of, like, how you leverage …”

“So for industry standard benchmarks such as TPCC, CryptDB had an overhead of 27% compared to MySQL.”

“And so five years from now, the grand vision would be To think about like running your own hiring process versus just using triple byte as being as outdated as hiring engineers to build a database from scratch versus just using MySQL or Postgres.”

“And I ran into this, like, really head first, like, into a brick wall when I got to Google in 2002, and they were using sharded MySQL in order to run their AdWords backend, and they went from, like, eight shards to 12 shards to 30 shards. By the time they repl…”

“We ran that in MySQL, and that was a 2000 millisecond operation. 2000 millisecond operation. In Neo-for-J, that was a two millisecond operation. So it's a thousand times faster.”

“Our entire transactional stuff is, is, is on MySQL. We use Mongo for a product catalog. We use Redis to serve recommendations. We use R to do the matrix factorization. Should I touch everything? I think I did. We use tons of Python scripts for parsing the revi…”

“We use MySQL, for example. We're not a big NoSQL shop.”

“Whenever you go with MM-SQL on EC-II, for example, you will see, like, one millisecond response times, and a Postgres or a MySQL is on the order of 60.”