When your business involves analyzing statistical data from different sources, you need to know how to collect, store, index, transform it into other data, analyze it, and so on.Quite often the project scale is not yet large enough to implement large software platforms, and in this case, universal options based on standard SQL or NoSQL solutions will help you cope with the accumulation and processing of medium-sized data.Such solutions, based on our practice, include Elasticsearch for website, which we will discuss in this article.What is Elasticsearch and how it worksLet's start with a brief description of Elasticsearch.
It’s a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases.
As the heart of the Elastic Stack, it centrally stores your data for lightning-fast search, relevancy, and analytics that scale with ease.
Elasticsearch is a fast, horizontally scalable, and very free hybrid of NoSQL database and Google.
It communicates with the world via the HTTP API and receives JSON documents for indexing and storage.
Storage, however, can be disabled, and in that case, there will only be a search engine that returns the IDs of once indexed documents.Today, Elasticsearch is successfully used by eBay, Adobe, Uber, Nvidia, Blizzard, Volkswagen, SoundCloud, GitHub, Netflix, and Amazon.