Probabilistic data can be used to add more value to deterministic datasets and to scale deterministic data models. If something is unknown in a deterministic dataset, enriching the data with probabilistic data can offer more accurate insights.

Why is a probabilistic model more appropriate than a deterministic model?

A deterministic model does not include elements of randomness. Every time you run the model with the same initial conditions you will get the same results. ... A probabilistic model includes elements of randomness. Every time you run the model, you are likely to get different results, even with the same initial conditions.

What is the advantages of deterministic approach?

In addition to the replication advantage, deterministic databases have several additional advantages: A side-effect of the more constrained processing choices is deadlock avoidance — deterministic databases never have to worry about deadlock detection or aborting transac- tions due to deadlock.