So now let's talk about Amazon Keyspaces,
and Keyspaces is a managed Apache Cassandra on AWS.
So Cassandra is an open-source NoSQL distributed database,
and so, with Keyspaces,
you get Cassandra directly managed on the cloud by AWS.
So it's going to be a serverless type of service,
it's scalable, it's highly available,
and fully managed by AWS,
and it will automatically scale tables up and down based
on the application's traffic.
The tables' data is going to be replicated three times
across multiple AZ,
and to perform your queries on top of Keyspaces,
you are going to use the Cassandra Query Language or CQL.
So thanks to this,
you're going to get single-digit millisecond latency
at any scale,
and you can do thousands of requests per second.
Two capacity modes to note, this is just like DynamoDB,
you have the on-demand mode
and then you have the provisioned mode with auto-scaling,
and these are the same things as DynamoDB really.
You get encryption features, backup,
Point-In-Time Recovery up to 35 days,
and so, the use cases is going to be
to store IoT device information, time-series data,
and generally, from an exam perspective,
anytime you see Apache Cassandra,
you just think about Amazon Keyspaces, and you're done.
Okay, that's it for this short lecture,
I hope you liked it, and I will see you in the next lecture.