Key Features of Elasticsearch
- Distributed and Scalable: Elasticsearch is distributed by nature, allowing it to scale horizontally across multiple nodes to handle large datasets and high query volumes.
- Full-Text Search: It provides powerful full-text search capabilities, enabling users to search for documents based on their content and relevance.
- Real-Time Data Analysis: Elasticsearch supports real-time indexing and querying, making it suitable for use cases that require up-to-date insights from continuously changing data.
- RESTful API: Elasticsearch exposes a RESTful API, making it easy to interact with the system using simple HTTP requests.
- Schemaless: Elasticsearch is schemaless, meaning we can index and search data without having to define a rigid schema already.
What is Elastic Search and Why is It Used
Elasticsearch is an open–source, distributed search and analytics engine designed for handling large volumes of data with near real-time search capabilities. Part of the Elastic Stack, it stores data in JSON format, supports multi-tenancy, and offers powerful full-text search functionalities.
In this article, We will learn about What is Elasticsearch, the Features for Elasticsearch, the Need of Elasticsearch and so on in detail.