Elasticsearch is called the heart of Elastic Stack. It stores data which could be discovered and analyzed for a number of modern day enterprise use cases. It also has RESTful APIs, using which data residing could be indexed and searched.

The Elasticsearch aggregation methodology helps in searching huge volumes of log data originating from source systems to make useful deductions. Above all, Elasticsearch gives these a full-text search capability on data with high performance. Not only is Elasticsearch distributed but is also highly scalable and is able to run on commodity hardware or enterprise grade servers alike, from one server to a series of server (hundreds of nodes) as demanded by the use case.

Elasticsearch is also highly available and fault-tolerant. It also has API’s exposed, using which it can be monitored and managed quite easily by administrators.

Elasticsearch also allows the client to be written in a variety of languages such as Java, Python and so on and deals with JSON and RESTful API’s.