Keywordselasticsearch elasticsearch tutorial what is elasticsearch how elasticsearch works
It’s essential to reduce manual effort, drive powerful product & content discovery and sustainable growth in today’s digital world. The speed and scalability of Elasticsearch and its ability to index many types of content mean that it can be used for a number of use cases, including application search, website search, security analytics, business analytics, and more. Let’s now deep dive into Elasticsearch, explore how it works, and why use Elasticsearch.
What is Elasticsearch?
Elasticsearch is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java and is dual-licensed under the source-available Server Side Public License and the Elastic license, while other parts fall under the proprietary (source-available) Elastic License. Official clients are available in Java, .NET (C#), PHP, Python, Apache Groovy, Ruby and many other languages. According to the DB-Engines ranking, Elasticsearch is the most popular enterprise search engine.
How does Elasticsearch work?
Raw data flows into Elasticsearch from a variety of sources, including logs, system metrics, and web applications. Data ingestion is the process by which this raw data is parsed, normalized, and enriched before it is indexed in Elasticsearch. Once indexed in Elasticsearch, users can run complex queries against their data and use aggregations to retrieve complex summaries of their data. From Kibana, users can create powerful visualizations of their data, share dashboards, and manage the Elastic Stack.
Why Use Elasticsearch
Built with Java, this datastore allows you to run it on any platform. Compared to most NoSQL databases, Elasticsearch is much more focused on the search functionalities, equipped with a rich and powerful HTTP RESTful API that enables you to perform fast searches in near real time.
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