Are there any drawbacks or better alternatives of this non relational model ? I note that it remains easy to understand but the concern is with the code interacting with.

First, as I was introduced to the no-SQL world, in many occasions I confronted a one-to-many relationship between entities. Today, I have a really relatively cascading example that might grow in the future.

Based on functionalities assumptions, I came up with a simple Snowflake model. Specifically a cascading one-to-many relationships with some describing data.

[User] 1 --- * [Session] 1 --- * [Execution] 1 --- * [Report]

The data model as it seems at first is easy to deal with, but I finally found that acting on data using Mongoose (a NodeJS library) can become complex and less performant, especially in a web application context (request and response cycle). The first way of thinking is to simple refer to parents by children in a normalization fashion. Another way to implement this data model is using document embedding approach: https://docs.mongodb.com/manual/tutorial/model-embedded-one-to-many-relationships-between-documents/ which is easier to interact with if you just model all in one entity; However this comes at the expense of performance; Because whenever you load a user, you load all sessions, executions and reports with it.

I found a compromise between a normalized model and the one using embedded documents; Modeled here:

Normalize and embed

The compromise consist of embedding a minimal variant of the child entity like Executions of type ExecutionsMini in Sessions. While maintaining the child entity Executions separate.

The concern grows because between Users and Loggings, there might be other entities added, in a one-to-many kind or not, and this could complex more the solution (not the data model).

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