I am not sure of the exact statistic, but something like 95% of all production databases are less than 10GB. There seems to be a 'FAANG hacker' fascination with 'extreme-scale' which probably comes from seeing the challenges faced by the handful of organizations working at that level. Much of the time most graph database users want (as in why are they there) a DB that allows you to flexibly model your data and run complex queries. They probably also want some sort of interoperability. If you can do that well for 10GB, that is holy grail enough. We certainly found that developing graph database TerminusDB [1] - most users have smaller production DBs, more lightly use bells and whistles features, and really want things like easy schema evolution.
How about some succinct data structures and delta encoding for modern databases [1]. Succinct data structures are a family of data structures which are close in size to the information theoretic minimum representation (while still being queryable).
There is a prolog based database that will take away many foundational problems in implementing a rules system or other logic programming artifact. It is called TerminusDB [1]
'LoRA is an incredibly powerful technique we should probably be paying more attention to
LoRA works by representing model updates as low-rank factorizations, which reduces the size of the update matrices by a factor of up to several thousand. This allows model fine-tuning at a fraction of the cost and time. Being able to personalize a language model in a few hours on consumer hardware is a big deal, particularly for aspirations that involve incorporating new and diverse knowledge in near real-time. The fact that this technology exists is underexploited inside Google, even though it directly impacts some of our most ambitious projects.' [1]
There are already some open source alternatives to datomic. TerminusDB (https://github.com/terminusdb/terminusdb) for example is implemented in prolog (and Rust) so has the datalog variant query power that makes datomic so powerful. If you want free as in speech (thou I love free beer).
There are already a few open-source alternatives that run datalog variant query languages. I'd point the curious towards TerminusDB [1] and TypeDB [2]. TerminusDB is implemented in prolog (and rust) so an alternative with datalog in the heart.