[[introduction]]
==  Introduction

Welcome to the official {brandname} User Guide.
This comprehensive document will guide you through every last detail of {brandname}.

=== What is {brandname} ?

{brandname} is a distributed in-memory key/value data store with optional schema.
It can be used both as an embedded Java library and as a language-independent service accessed remotely over a variety of protocols (Hot Rod, REST, and Memcached). It offers advanced functionality such as transactions, events, querying and distributed processing as well as numerous integrations with frameworks such as the JCache API standard, CDI, Hibernate, WildFly, Spring Cache, Spring Session, Lucene, Spark and Hadoop.

=== Why use {brandname} ?

==== As a local cache

The primary use for {brandname} is to provide a fast in-memory cache of frequently accessed data. Suppose you have a slow
data source (database, web service, text file, etc): you could load some or all of that data in memory so that it's just a
memory access away from your code. Using {brandname} is better than using a simple ConcurrentHashMap, since it has additional
useful features such as expiration and eviction.

==== As a clustered cache

If your data doesn't fit in a single node, or you want to invalidate entries across multiple instances of your application,
{brandname} can scale horizontally to several hundred nodes.

==== As a clustering building block for your applications

If you need to make your application cluster-aware, integrate {brandname} and get access to features like topology change
notifications, cluster communication and clustered execution.

==== As a remote cache

If you want to be able to scale your caching layer independently from your application, or you need to make your data
available to different applications, possibly even using different languages / platforms, use {brandname} Server and its
various clients.

==== As a data grid

Data you place in {brandname} doesn't have to be temporary: use {brandname} as your primary store and use its powerful features
such as transactions, notifications, queries, distributed execution, distributed streams, analytics to process data quickly.

==== As a geographical backup for your data

{brandname} supports replication between clusters, allowing you to backup your data across geographically remote sites.
