Postgres

“We looked at the traditional stuff and we thought, well, you know, could we take something, can we take Postgres and start changing, you know, changing code and make something we like? And we felt like we would never, Land where we wanted to get to if we did t…”

“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.”

“All of our production data is in Postgres, and we will read from the secondaries in AWS. We push all of the Postgres data into Redshift and do a lot of more intensive batch computations off of Redshift. The data science teams are using either Python or R we do…”

“From the point of view of the application developer, it looks like they're talking to a single Postgres database, but it just so happens to be elastically scalable.”

“It's just add water GraphQL for Postgres. So if you've got a Postgres database, then you can point Hasura at it and extremely quickly spin up a GraphQL API for it. And subscriptions, queries, mutations, like you get all of those things. It's all code gen. So t…”

“So SurrealDB can run as an embedded database, like SQLite. It can run as a single node, like Postgres. Or it can run as a distributed cluster, and you can scale the storage layer, and you can scale the compute layer.”

“I mean, it is a flat JSON file. This is stored in a Postgres database. It's not even, A graph database.”

“Like I think what usually I see happens is like initially people just report off whatever their transactional system is. So if you're using Postgres or something and you're, you know, cause you're you've got some application layer. You can report off that for …”

“So yes, in some cases there are, for many use cases, you can use a general purpose database. People have built stuff on Postgres. People have built time series on Mongo. Like those are highly useful. But if you're ingesting huge amounts of data, you want the q…”