7 ms·
It depends on a few things. If you want to migrate all the data that's heavier than just, e.g., the graph part and connections. It heavily depends on the final
by mbuda 4y ago
It depends on a few things. If you want to migrate all the data that's heavier than just, e.g., the graph part and connections. It heavily depends on the final model, required data types and overall distribution of data. This guide -> https://memgraph.com/docs/memgraph/under-the-hood/storage https://memgraph.com/docs/memgraph/under-the-hood/storage can help you with calculating the amount of required RAM. Also, we plan to include a simple calculator into the next release of Memgraph Lab (https://memgraph.com/docs/memgraph-lab/ https://memgraph.com/docs/memgraph-lab/) coming probably this wee :)
- grounder 4y agoThank you so much! One more question if you'll permit me - and then I'll leave you alone I promise. Social networks are often recommended as a use-case for a graph database. How well would Memgraph perform on generating an activity feed of all of the posts of the people I follow ordered by post date descending, for example (hopefully with pagination)?
- mbuda 4y agoHard to say without a particular query, and again it depends on the model, but from the explanation, that could be modeled as a 2-hop relationship. If you put in-place indexes and maybe some filtering, it should be fast. Please join our Discord at https://discord.gg/memgraph https://discord.gg/memgraph, more people will be able to help you there :)