Elasticsearch is an open source, distributed search and analytics engine built for speed, scale, and AI applications. As a retrieval platform, it stores structured, unstructured, and vector data in real time — delivering fast hybrid and vector search, powering observability and security analytics, and enabling AI-driven applications with high performance, accuracy, and relevance.

        Datastore

            Store everything. Search anything. Structured, unstructured, and vectors — all under one roof with efficient columnar storage. For us, data is just data.

        Vector database

Semantic meets syntax. Text, image, and multi-modal vectors — all in one API. Billions of embeddings, deployable anywhere you need.

Analytics engine

Think faster. Act smarter. Real-time data analytics move with speed to aggregate and transform even high-cardinality data instantly.

Search engine

Shockingly relevant. Full-text, filters, vectors, and scoring. Real-time search and precision at scale — built for developers, loved by data.

Geospatial engine

Put your data on the map. Literally. Search it, shape it, and show it off with geo-distance, polygons, and hexagonal spatial analytics.

Serious capabilities. Surprisingly simple.

Advanced search and relevance

Fuzzy, semantic, or precise — Elasticsearch finds significance in your data. Full-text search, vector search, and hybrid search with filters, ranking, and reranking for unmatched relevance.

Elasticsearch delivers performant, searchable, cost-effective data storage. From hot tier on local disks to searchable snapshots on object storage, get speed and savings — no compromises needed.

Connected and integrated

Built-in connectors, common schemas, and open standards. Ingest fast with APIs, clients, and pipelines. Elasticsearch meets your data where it lives to connect, ship, analyze, and search all data types.