Three ways to run it.
The same engine in every case. What changes is who operates it and where your bytes live.
| Shape | Who runs it | Licence | Price |
|---|---|---|---|
| Hosted | We do | Managed | $10 per GB |
| Self-host, connected | You do, on your hardware | Signed licence with a revocation heartbeat | $10,000 per node |
| Air-gapped | You do, with no network at all | Offline signed licence, no phone-home, ever | $10,000 per node |
What you are actually buying
One 64-byte container that is simultaneously the record, the index entry, the log entry and the network frame. One copy of the data, queryable the moment it lands, through graph, search, vector, key-value, analytics and time-series lenses. The collapse from four to six systems into one is the saving, and it is an operations saving before it is a licence saving.
Where we do not win
BM25 relevance ranking over a large text corpus is Elasticsearch's home turf, and sublinear approximate nearest-neighbour at billion-vector scale is what the dedicated vector databases are built for. We do exact, not approximate, and uniform-random access over payload is bounded by physics like everyone else's. If your workload is one of those, say so and we will tell you honestly whether to buy.