Kick starting Elasticsearch is much easier than any other open source projects. It ships with the best possible configurations, which make the process of starting this easy, and it ships with the most optimistic settings for performance. Hence, the initial learning curve on the user side is reduced. We went through a getting started that was easy; and discussed some of the architectural choices, which make this application truly distributed.

Though Elasticsearch head is a good tool to interact with Elasticsearch. There are other choices, such as Sense (packed with Elasticsearch Marvel), KOPF, and so on, which can also be used for the same purpose. There is a wide variety of ways in which we can use analyzers to improve a user's search experience. A separate chapter is dedicated to this in this book.

In the next chapter, you will learn how you can effectively use Elasticsearch to build an e-commerce application. Elasticsearch is a natural fit to build an e-commerce application. Search over structured and unstructured data, pagination, scoring, aggregation, filtering, and highlighting makes Elasticsearch an ideal backend for e-commerce-related applications.