Elasticsearch is a distributed, open-source search and analytics engine built on Apache Lucene, excelling in full-text search, structured search, analytics, and combining the power of search with AI, serving as an open-source alternative to Algolia, Coveo, and AWS Kendra.
Key features include:
- Distributed Architecture: Designed for horizontal scalability and high availability.
- RESTful API: Provides a simple, REST-based API for interacting with the engine.
- Real-time Analytics: Enables near real-time search and analysis of large datasets.
- Schema-Free: Offers flexibility in handling structured and unstructured data.
- AI Capabilities: Supports vector search, semantic search, and integration with LLMs for AI-driven applications.
Use cases:
- Application Search: Powering search functionality in web and mobile applications.
- Log Analytics: Centralized logging and real-time analysis for troubleshooting and monitoring.
- Security Information and Event Management (SIEM): Threat detection and security analytics.
- Business Analytics: Data exploration and visualization for business intelligence.
- Observability: Monitoring application performance and infrastructure health.
