A search engine platform that provides distributed, RESTful search and analytics capabilities for building search, observability, and security applications across on-premises and cloud environments, enabling fast indexing, real-time query processing, and AI-enhanced relevance.
Whether you want to cut software costs or escape vendor lock-in, these open source alternatives to Elasticsearch give you an option you fully own. You can self-host them, so your data stays on infrastructure you control. This page lists 7 open source alternatives to Elasticsearch. The most popular are OpenObserve, ZincSearch and OpenSearch. Most use the Apache-2.0 or AGPL-3.0 license, and 7 offer an official Docker image.
Manage logs, metrics, and traces within a single observability platform using SQL and PromQL queries.
A lightweight search engine providing full text indexing with minimal resource requirements and a built-in UI.
A community driven search and analytics suite for ingesting, searching, visualizing, and analyzing unstructured data at scale.
A search engine for observability that provides full text search and aggregations on cloud storage.
Combine full text and semantic search with a vector database for applications requiring hybrid search capabilities.
An open-source cloud data warehouse for large-scale analytics, vector search, and full-text search using Rust.
A multi-modal search platform providing full-text, vector, and geospatial search capabilities built on Apache Lucene.
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