Now let's talk about DocumentDB.
So the same way we had Aurora as the way for AWS
to implement a sort of big cloud native version
of PostgresSQL and MySQL,
we have DocumentDB, which is an Aurora version for MongoDB.
So MongoDB, if you don't know,
that's the logo on the top right corner of your screen.
It is another NoSQL database,
and you need to remember this for the exam.
So DocumentDB is a NoSQL database,
and it's based on top of the MongoDB technology.
So it's compatible with MongoDB.
So MongoDB is used to store query and index JSON data,
and you have the same similar deployment concept
as Aurora with DocumentDB.
So that means it's a fully managed database.
It's highly available.
Data is replicated across three availability zones,
and the storage will grow automatically
in increments of 10 gigabytes
up to 64 terabytes of storage, all of this, okay?
And DocumentDB has been engineered so it's can scale
to workloads with millions of requests per second.
So at the exam, if you see anything related to MongoDB,
think DocumentDB, or if you see anything related
to NoSQL databases, think DocumentDB and also DynamoDB.
That's it for this lecture.
I hope you liked it,
and I will see you in the next lecture.