(cache) Datomic

Why Datomic?

Immutable data means strong consistency combined with horizontal read scalability, plus built-in caching.

Writes are not update-in-place; all data is retained by default. This provides built-in auditing and the ability to query history.

Datomic provides rich schema and query capabilities on top of modern scalable storage engines like DynamoDB, Cassandra, Riak and more.

Immutable data means strong consistency combined with horizontal read scalability, plus built-in auditing and caching.

Datomic provides rich schema and query capabilities on top of modern scalable storage engines like DynamoDB, Cassandra, Riak and more.

Datomic can leverage highly-available, distributed storage services, and puts declarative power into the hands of application developers.

Datomic is a database of flexible, time-based facts, supporting queries and joins, with elastic scalability, and ACID transactions.

2/8/14 -- Ryan Neufeld on a common Datomic anti-pattern.

2/7/14 -- Learn how Datomic, ClojureScript and Om work together using immutable data.

1/23/14 -- Datomic gets schema alteration capabilities for greater flexibility.

12/18/13 -- Announcing support for the Cassandra storage engine.