* 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.

* Custom high performance datastore written specifically for time series data. The TSM engine allows for high ingest speed and data compression. * Written entirely in Go. It compiles into a single binary with no external dependencies. * Simple, high performing write and query HTTP(S) APIs. * Plugins support for other data ingestion protocols such as Graphite, collectd, and OpenTSDB. * High availability setup available with Relay. * Expressive SQL-like query language tailored to easily query aggregated data. * Tags allow series to be indexed for fast and efficient queries. * Retention policies efficiently auto-expire stale data. * Continuous queries automatically compute aggregate data to make frequent queries more efficient. * Built in web admin interface.