The Datomic Knowledgebase has been launched to provide a place to ask questions, provide answers, discuss and make feature requests.
Datomic Knowledgebase represents our commitment to improve Datomic and Datomic Cloud. It will serve as a place where you can help us prioritize our efforts and help shape the future of Datomic.
With Datomic dev-local you can develop and test applications with minimal connectivity and setup. Get the dev-local library, add it to your classpath, and you have access to the full Client API (both synchronous and asynchronous flavors). This allows you to:
Develop and test Datomic Cloud applications without connecting to a server and without changing your application code.
Create small, single-process Datomic applications and libraries.
Today’s releases of Datomic Cloud and Datomic On-prem preview a major new feature: analytics support
With analytics support, your data scientists, analysts, and operations people can directly access Datomic using the languages and tools they already know (e.g. SQL, Python, R, Tableau, Metabase, Superset and more), without you having to do any ETL.
Today’s releases of Datomic Cloud and Datomic On-prem include two major new features: tuples and database predicates.
Most Datomic queries return tuples, but sometimes you just want maps. Today’s release of the Datomic Cloud client library adds return maps to Datomic datalog. For example, the following query uses the new :keys clause to request maps with :artist and :release keys:
