Thank you for answering !
I have some questions !
My main concern is to utilize Couchbase as a in-memory database like Redis in some dataset which has very high frequent read-write operation.
I also have persistent dataset as well. So I need to manage two type of buckets with the same dataset?
Let’s think about time-series finance dataset.
I basically need persist all finance tick data(30sec, 60sec,5m and so on).
Users will have read operations for the latest finance dataset, not all old time series.
For this reason, I need a in-memory type for this frequent access data like Redis but I also need to persist the data permanently at the same time because user can also retrieve all historical finance dataset.
I couldn’t find any knowledge&examples about this situation.
So, If I use Ephemeral bucket, I don’t need worry about additional setup; just use it like a normal bucket?
One thing I know about Couchbase is it has an inherent cache capacity even for a normal bucket type. right? So, Do I still need have Ephemeral bucket for this?