One substrate.
Graph · search · vector · time-series, in a single 64-byte container.

The whole industry runs on one assumption: you need a specialized database for every workload. A graph database for graph, a search engine for search, a vector database for vectors, a cache for key-value, a warehouse for analytics, a tick store for time-series, a document store for documents, a triplestore for RDF. There is a live demo for every one of them, on real public data you can download and re-run, proving that one 64-byte-container substrate does them all. It wins outright where the incumbent's data structure detonates, and collapses four to six systems into one everywhere else. That the thesis is real and reproducible is the moat.

And it is not one more database to run behind your app. It is a substrate you build on. Your logic runs in the same process as the data, directly on the raw 64-byte containers, at memory bandwidth, so the network hop, the serialize and deserialize, and the object-mapping layer all disappear. You ship the logic that is yours, running natively on the data instead of over a wire to it.

These three are a taste. Browse every live benchmark ▸, or open any category in the rail, and run it live on this box.