Elasticsearch

Distributed search and analytics engine built on Apache Lucene, designed for speed and scale. It stores structured, unstructured, and vector data in real time and delivers full-text, semantic, and hybrid search alongside real-time analytics for logs, metrics, and traces.

Trusted by enterprises such as Lawrence Livermore National Laboratory, Cisco, and Microsoft for observability, security, and application search at scale. Elasticsearch stands out by unifying search, analytics, and vector retrieval in one platform: unlike siloed solutions, the same cluster powers log analytics, SIEM, product search, and RAG workflows with a consistent REST API and query language.

Key features:

• Full-text, fuzzy, semantic, and hybrid search with filters, ranking, and reranking
• Real-time analytics and aggregation with ES|QL for logs, metrics, and time-series data
• Vector storage and search for embeddings, semantic search, and AI-driven retrieval
• Geospatial search with distance, polygons, and hexagonal spatial analytics
• Horizontal scaling with automatic rebalancing and replication across nodes
• 350+ integrations, language clients for Java, Python, Go, and raw REST API access

Teams use it for application and ecommerce search, log analytics and observability, SIEM and threat hunting, and RAG or AI-powered search. Developers integrate via REST APIs and official clients, ingest data through connectors and pipelines, and deploy on-premises or via cloud-managed options.