Datomic is a database of flexible, time-based facts, supporting queries and joins, with elastic scalability and ACID transactions. Datomic queries run your application process, giving you both declarative and navigational access to your data. Datomic facts ("datoms") are time-aware and distributed to all system peers, enabling OLTP, analytics, and detailed auditing in real time from a single system.
In this talk, I will begin with an overview of Datomic, covering the problems that it is intended to solve and how its data model, transaction model, query model, and deployment model work together to solve those problems. I will then use Datomic to illustrate more general points about designing and implementing production software, and where I believe our industry is headed. Key points include:
the pragmatic adoption of functional programming
how dynamic languages fare in mission- and performance- critical settings
the importance of data, and the perils of OO
the irony of git, or why developers give themselves better databases than they give their customers
perception, coordination, and reducing the barriers to scale