There are a few fundamental difference between them: Data Model Both Neo4j and Datomic can model arbitrary relationships. They both use, effectively, an EAV (entity-attribute-value) schema so they both can model many of the same problem domains except Datomic’s EAV schema also embeds a time dimension (i.e. EAVT) which makes it very powerful if you … Read more
With the proviso that I haven’t used Datomic in production, thought I’d give you an answer. Advantages Datalog queries are powerful (more so than non-recursive SQL) and very expressive. Queries can be written with Clojure data structures, and it’s NOT a weak DSL like many SQL libraries that allow you to query with data structures. … Read more
There is an approach to designing systems with an idea of never deleting or mutating data called Event Sourcing. Basically, the idea is to store events (or facts) that change the system state, instead of snapshots of the state. The history of events can be replayed later on to produce a certain purpose-specific projection of … Read more
Caveat Lector As Datomic is new and my experience with it is limited, this answer shouldn’t be considered best practices in any way. Take this instead as an intro to Datomic for those with a relational background and a hankering for a more productive data store. Getting Started In Datomic, you model your domain data … Read more