What are the characteristics of Elasticsearch?
The characteristics of Elasticsearch are as follows:
- Distributed architecture: Elasticsearch utilizes a distributed architecture, which allows data to be stored across multiple nodes, thus enhancing both reliability and scalability of data.
- Real-time capability: Elasticsearch has almost real-time search and analysis capabilities, allowing data to be added, updated, and deleted with immediate effect.
- High Availability: Elasticsearch ensures the high availability of data through replication and sharding techniques, even if a node fails, the system can still function normally.
- Powerful full-text search capability: Elasticsearch utilizes inverted indexes for full-text search, enabling quick retrieval and filtering of large amounts of textual data.
- Various types of queries: Elasticsearch offers a variety of query options, including full-text queries, exact queries, range queries, fuzzy queries, etc., to meet different types of query requirements.
- Elasticsearch supports indexing and searching multiple data formats, such as structured, semi-structured, and unstructured data.
- Scalability: Elasticsearch can increase the capacity and performance of the system by adding new nodes, scaling horizontally to hundreds of servers.
- Ease of use: Elasticsearch offers a user-friendly RESTful API that allows for indexing, searching, and analyzing data via HTTP.
- Active community: Elasticsearch is an open-source project with a large user community and active developer community, providing abundant support and resources.
- Plugin Ecosystem: Elasticsearch boasts a robust plugin ecosystem that allows for easy expansion and customization of the system’s functionality.
