* Domain Model Flexibility - Shape domain models in a most suitable way, responding to needs and challenges as they come using built-in indexing capabilities * Perfect Audit Trail - Every event and its cause are serialized so that every action and its outcome can be traced * Functionality Mapping - Designating commands and events provides developers with a clear, succinct "one-page view" of available functionality * Strongly Typed Schema - All commands and events are compactly serialized according to their typing information and schema migration capabilities are included * Tooling - The Java implementation comes with JMX introspection and management primitives built-in. Additional application tooling is available, such as a GraphQL adaptor

* Event Store has a native HTTP interface based on the AtomPub protocol which is plenty fast enough for the majority of use cases. For high-performance use, there are native drivers for .NET, Akka and Erlang. * Projections allow you to react to events as they are written, and to create new events when interesting combinations occur. You can use the same model for writing temporal correlation queries that run over historical data and on into the future. * Whilst performance depends on configuration and use patterns, we’ve benchmarked Event Store at around 15,000 writes per second and 50,000 reads per second! * Event Store can run as a cluster of nodes containing the same data, which remains available for writes provided at least half the nodes are alive and connected.