This is a project I’ve started and restarted several times over the years. I’m currently between implementations and getting ready to try to build this again, this time optimized for a more contemporary set of use cases. These ideas are heavily inspired by work I did for a startup called Skai, but the language and implementation details I’m sharing here are the result of me iterating on this stuff in isolation for over a decade now.
Included here are a series of essays about databases, root systems and complexity. A github repo is coming hopefully soon.
talks about the nature of relationality, the rise-and-fall of No-SQL alternatives to RDBMS technology, the emergence of “Big Data” and the evolution of Data Lakes.
introduces the concept of rhizomes, covering the original botanical meaning and then diving into their metaphorical application in philosophy. It ends with an analysis of the way rhizomes give us a powerful way to reason about relationality.
contains concrete implementation details about how to build Rhizome DB as a fully relational, distributed, and “functionally unstructured” datastore. We talk about the problem I’m trying to solve, show some examples, and dig into why an immutable append-only hypergraph of delta CRDTs gives us some magic properties.
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RhizomeDB
