Tesla stores an absolutely silly amount of captured training data. They are very familiar with large distributed databases.
What makes Manhattan special (Twitters internal database) isn't it's scale (FB, Google, etc operate DBs which much higher scale) but it's multi-engine paradigm and other cool features.
The Tesla folk that are there probably aren't even DB specialists though, they are likely just there to evaluate the lay of the land and start the process of working out which teams are pulling their weight and which aren't.
What makes Manhattan special (Twitters internal database) isn't it's scale (FB, Google, etc operate DBs which much higher scale) but it's multi-engine paradigm and other cool features.
The Tesla folk that are there probably aren't even DB specialists though, they are likely just there to evaluate the lay of the land and start the process of working out which teams are pulling their weight and which aren't.