The big difference of the predictive queries / databases compared to trained models is that predictive databases are prepared / optimized to allow making arbitrary predictions without pretrained model. So you can basically as to predict any X based on any A, B and C and expect a more or less immediate answer.
The benefit of not having pre-trained models relates to workflows and architecture, as described in the article. The disadvantage of having such instant generic prediction capability is that it's technical hard to implement, as described in the 'Quality' chapter.
https://aito.ai/blog/introducing-a-new-database-category-the...
The big difference of the predictive queries / databases compared to trained models is that predictive databases are prepared / optimized to allow making arbitrary predictions without pretrained model. So you can basically as to predict any X based on any A, B and C and expect a more or less immediate answer.
The benefit of not having pre-trained models relates to workflows and architecture, as described in the article. The disadvantage of having such instant generic prediction capability is that it's technical hard to implement, as described in the 'Quality' chapter.