elastic/elasticsearch

Health v2 · maintenance only

Flags: no_license no_readme

Adoption not part of the score

77863 stars · 26057 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Elasticsearch is a free and open source, distributed, RESTful search and analytics engine built on Apache Lucene. It stores structured, unstructured, and vector data in real time, supporting full-text, hybrid, and vector search plus aggregations and AI/RAG workloads.

Use cases

• add full-text search to my website or app
• store and query vector embeddings for semantic search
• build a RAG chatbot over my documents
• centralize and search application logs
• run real-time analytics and aggregations on large datasets
• index and search geospatial data
• power product or document search with relevance ranking

When to choose

• you need fast, scalable full-text or hybrid search across large datasets
• you want a vector database with mature ecosystem and client libraries
• you're building observability or security analytics on the ELK stack
• you need real-time aggregations and analytics over high-cardinality data

When to avoid

• you only need simple relational queries and joins — a SQL database fits better
• you can't operate a JVM cluster and don't want a managed cloud offering
• your dataset is small enough for Postgres full-text search or SQLite FTS
• you require a permissively licensed codebase — the license is not OSI-approved

Facets

service · maturity stable

search-engine vector-database analytics database databases analytics large-language-models monitoring security jvm windows cloud self-hosted full-text-search distributed-systems rest-api lucene rag hybrid-search elk-stack log-analytics search linux macos docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="elastic/elasticsearch")