How Nubank leverages Datomic's database as an immutable value to run at scale
summary
Shows how Datomic turns the database into an immutable, time-aware database used with Clojure on the JVM to run NewBank: 3000+ Datomic databases, 4000 microservices, ~3000 engineers, 100M+ daily users, and >70 billion Kafka events/day. Explains the append-only value-oriented model, how queries can snapshot and replay past states, how auditability and in-memory test DBs simplify incident response and testing, and gives concrete examples of production wins at scale.
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chapters (9)
- 0:00Introduction and personal journey
- 10:10Philosophy behind tools like Clojure and Datomic
- 18:23Clojure’s design and immutability
- 23:23Datomic’s immutable database model
- 27:56Benefits of immutable storage in fintech
- 34:34Composability and separation of concerns
- 41:59Scalability and team autonomy at Nubank
- 47:40When to consider Clojure and Datomic
- 49:52Q&A and resources
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