* Local, Invalidation, Replicated and Distributed cache modes * Multiple discovery algorithms for elastic node provisioning * Partition handling detects split brain scenarios and reduces availability to provide consistency in such situations * Store immortal and mortal entries in the same cache * Entry mortality defined by lifespan or maximum idle time * Define the maximum number of entries to be kept in memory * Define the maximum size of entries to be kept in memory * Concurrency control based on Optimistic and pessimistic locks and total order * Support for XA and synchronization models * Synchronous and asynchronous indexing engine * Lucene-based indexing powered by Hibernate Search * Clustering authentication and authorization integrated with the Security Realms in the server. * Distributed streams based on java.util.stream * High-performance multi-threaded Map/Reduce * Distributed executor

* 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.