Elasticsearch is an open-source, distributed search engine built on top of Apache Lucene. It is used for full-text search, structured search, analytics, and all forms of data storage and retrieval. Its main features include:
• Distributed search and analytics: Elasticsearch is designed to scale horizontally and can be deployed across multiple nodes for distributed search and analytics.
• Real-time search and analytics: Elasticsearch is designed to provide real-time search and analytics capabilities for data stored in the cluster.
• Multi-tenancy: Elasticsearch provides multi-tenancy capabilities, allowing multiple users to access the same cluster while providing each user with their own dedicated resources.
• High availability: Elasticsearch is designed to provide high availability for data stored in the cluster.
Example:
Let’s say you have a website that sells books. You can use Elasticsearch to provide full-text search capabilities for your users, allowing them to quickly find the books they are looking for. You can also use Elasticsearch to provide analytics and insights into the data stored in the cluster, such as which books are the most popular or which books are selling the best.