Hitchhiker Tree

Enables safe concurrent reads and historical queries with git-like forking, as shown in the API where snapshots can be saved and forked independently without affecting other branches.

Manages tens of gigabytes of data outside the JVM heap, avoiding garbage collection issues and enabling large in-memory datasets, as emphasized in the Outboard application description.

Reduces startup times by loading data on-demand from backing stores like Redis, allowing applications to restart and reuse persisted data without full reloads.

Serializes changes gradually to durable storage without blocking operations, ensuring data durability with minimal performance impact, as part of the core design for scalable databases.