The autoscale works well; it also helped us reduce the cost of using cloud resources. I thought that was going to be a problem since this is the first time we used autoscale. The support has been good enough, they normally appear on time for their scheduled hours to assist us in fixing the problems we create. The ability to save the query history in order of how the queries were written is nice as I often forget what I write a few minutes after writing it. When working with coworkers who need access to your code you can send them the permalink (link) to the code which is better than having to explain it. Since it supports both Spark and Presto within one tool I do not have to jump between tools.

Databricks est très utile pour écrire du code dans diverses langues, y compris SQL et Python, entre autres. Il est également précieux pour construire des pipelines et créer de nouveaux notebooks, qui aident à concevoir des requêtes complexes.

Cet outil peut être implémenté sur presque toutes les plateformes et offre un large éventail de fonctionnalités analytiques intégrées. Il propose un ensemble complet de fonctions analytiques qui simplifient les opérations et offrent une perspective globale sur la technologie. Ses performances en analyse de big data sont exceptionnelles, car il est conçu pour gérer et traiter efficacement de grandes quantités d'informations.