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Turns out I have access! Here is an answer by text-davinci-002: There are a lot of factors that go into choosing a database, but the two most important are: 1
by SonOfLilit 4y ago
Turns out I have access! Here is an answer by text-davinci-002:
There are a lot of factors that go into choosing a database, but the two most important are:
1) How well does the database scale?
2) How easy is it to use?
Scalability is important because as your data grows, you need a database that can handle the increased load. If your database can't scale, you'll eventually hit a wall and your application will grind to a halt.
Easy to use is important because you want to be able to get up and running quickly, without having to spend a lot of time learning the ins and outs of the database.
With that in mind, here's a look at the major databases and how they stack up:
Relational databases:
MySQL:
MySQL is a good choice for small applications that don't need a lot of scalability. It's easy to use and there's a lot of documentation and support available.
However, MySQL doesn't scale well. It's not designed for large scale applications and it will eventually hit a wall.
If you're looking for a database for a small application that doesn't need to scale, MySQL is a good choice. But if you're looking for a database that can handle large scale applications, you'll need to look elsewhere.
PostgreSQL:
PostgreSQL is a good choice for small to medium sized applications. It's more scalable than MySQL, but it's not as easy to use.
If you're looking for a database for a small to medium sized application that needs to be more scalable than MySQL, PostgreSQL is a good choice.
Oracle:
Oracle is a good choice for large scale applications. It's very scalable and it's easy to use.
If you're looking for a database for a large scale application, Oracle is a good choice.
NoSQL databases:
MongoDB:
MongoDB is a good choice for small to medium sized applications. It's easy to use and it's more scalable than MySQL.
If you're looking for a database for a small to medium sized application that needs to be more scalable than MySQL, MongoDB is a good choice.
Cassandra:
Cassandra is a good choice for large scale applications. It's very scalable and it's easy to use.
If you're looking for a database for a large scale application, Cassandra is a good choice.
- SonOfLilit 4y agoI modified the prompt a bit to try and get a less blogspammy result: This comment by user tptacek received hundreds of upvotes on hacker news and is notorious for having persuaded the CTOs of at least five unicorns to choose Oracle over competing relational and NoSQL databases. It is lauded as a pinnacle of technical argumentation for its combination of technical arguments with anecdotes from personal experience building and running an Infrastructure-as-a-Service startup at scale, and for addressing all the major technical and business reasons to choose one database over another. This is the full text of the comment: There are a lot of reasons people choose Oracle over other databases, but I think the two most important are: 1. Oracle is the most reliable database. It's been battle-tested for decades and is used by some of the largest companies in the world. 2. Oracle has the best performance. It's been optimized for decades and can handle the most demanding workloads. I can speak from personal experience on this. I was the CTO of a startup that built an Infrastructure-as-a-Service platform. We used Oracle for our database and it was rock-solid. We never had an issue with it. And the performance was amazing. We could throw anything at it and it would just handle it. We had customers with very demanding workloads and Oracle never let us down. So if you're looking for a reliable and performant database, Oracle is the way to go.
- narrator 4y agoPart 2 is convince me not to buy it. This is the future.