MongoDB has realized a problem with time-series data. Because of the time and high ingestion rates, the developer was bound to work using bulky data.
Sometimes developers became fed up because of large volume data because the data upends with negligible updates. And this is the reason, all the queries are dependent on the time-based filters.
Now, version 5 of MongoDB has brought relaxation because it is featured with clustered indexing and window functions. Both of these implementations make the execution process fast because developers will be able to create and run the applications of time series.
Furthermore, this new native time-series feature is dedicatedly designed for financial analytics and IoT applications.
Here, For low latency queries, more storage efficiency, and real-time analytics, the optimization of the schema is done automatically.
So developers are not required to take any kind of headache to manage their database under the given scenarios.