The way data is sharded across machines, is done via predicate. So, in this case, the 2.4 billion occurrences only leads to a data of 2.4G * 8 bytes (uint64 id)

The way data is sharded across machines, is done via predicate. So, in this case, the 2.4 billion occurrences only leads to a data of 2.4G * 8 bytes (uint64 id) ~ 20GB of data for us, on one machine; which is pretty manageable. Furthermore, each predicate could be further sharded to fit on multiple machines; such would be the case with say the friend predicate in Facebook. It's hard to "prove" on a landing page, without going into design details, that you truly are those things. We do have a demo, with 21 million RDFs from real world data from Freebase, so you could play with the database, and get a feel for it. We'll look into LDBC. Thanks for the pointer.