Elasticsearch is a distributed search and analytics engine built on Apache Lucene that is used for full-text search, operational intelligence, security analytics, and business analytics. It stores, indexes, and analyzes large volumes of data in real time, and it can be used for both structured and unstructured data, providing fast hybrid and vector search capabilities through a REST API. It is a key component of the Elastic Stack (formerly the ELK Stack) and is used to power a wide range of applications.
Key Features and Uses
- Distributed search and analytics: It can handle large datasets by distributing data across multiple servers, allowing for fast and scalable search.
- Real-time data: It provides near real-time search and analytics on all types of data, including text, numerical, and geospatial.
- Hybrid and vector search: It can perform hybrid searches that combine traditional keyword search with vector search, which is useful for AI-driven applications.
- REST API: It uses a REST API, making it easy to store data and retrieve search results from various applications using languages like Java, Python, and others.
- Data storage: It can store data as JSON documents and has capabilities for managing different data types, including time-series data through data streams.
Applications
It is commonly used for:
- Full-text search for websites and applications
- Log analytics
- Security intelligence and analytics
- Business and operational intelligence
- AI-driven applications
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