問題文
What distinguishes running graph workloads in Aura Graph Analytics from running them on a self-hosted installation of the library?
選択肢
- Aura Graph Analytics runs them in a session, an on-demand compute environment created when needed and deleted when it is no longer useful, without instance management operations.
- Aura Graph Analytics requires the data to already be in a graph database while the self-hosted library is able to read from any source, so a team with data outside a graph database loads it first.
- Aura Graph Analytics stores the projected graph on disk while a self-hosted installation holds it in memory, which is the difference a team plans around.
- Aura Graph Analytics offers a different set of algorithms with no overlap at all with the ones in the self-hosted library, so a workload written for one of the two has to be rewritten from scratch before it can be moved across to the other.