OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite that makes it easy to ingest, search, visualize, and analyze data at scale.

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🚀 Overview

OpenSearch is an enterprise-grade, fully open source search and analytics engine suite, originally forked from Elasticsearch 7.10.2 and Kibana 7.10.2 in 2021 by AWS in response to Elastic's licensing changes from Apache 2.0 to more restrictive terms. This ensures perpetual Apache 2.0 licensing, preventing vendor lock-in and fostering community innovation. Now governed by the OpenSearch Software Foundation under the Linux Foundation since September 2024, it's a thriving ecosystem with over 120 GitHub repositories and thousands of contributors.

This project solves the challenge of managing petabytes of unstructured data for search, observability, security analytics, and AI/ML applications. It provides scalable tools for log analytics, application performance monitoring (APM), threat detection, and vector-based semantic search without proprietary restrictions.

It's built for developers, DevOps engineers, security teams, and enterprises needing robust, customizable data solutions. The community built and maintains it to keep search technology open, accessible, and innovative for all.

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✨ Key Features

• Distributed Search & Analytics: Full-text search, aggregations, and real-time querying powered by Apache Lucene for handling massive datasets efficiently.
• OpenSearch Dashboards: Intuitive visualization tool for creating dashboards, graphs, and maps to explore and share insights.
• Observability & Security: Plugins for logs, traces, metrics, anomaly detection, and SIEM capabilities to monitor infrastructure and detect threats.
• AI/ML Integration: Vector search, neural search, and ML Commons for building RAG applications and advanced analytics.
• Optional: Upcoming features include enhanced vector quantization and hybrid search improvements in recent roadmaps.

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🛠 Tech Stack

• Frontend: OpenSearch Dashboards (TypeScript, JavaScript, React, Node.js, SCSS/CSS)
• Backend: Java (99.7%), Groovy, Apache Lucene for indexing
• Database: Lucene-based inverted indexes, supports SQL and PPL querying
• Auth: OpenSearch Security plugin (SAML, OpenID Connect, LDAP, fine-grained access control)
• Hosting: Self-hosted (Docker, Kubernetes), AWS OpenSearch Service, Cloudflare, etc.

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👥 Who Is This For?

This project is useful for:

• Developers who want to ___add powerful search and analytics to apps without licensing hassles
• Teams looking for ___observability stacks for monitoring and alerting
• Indie makers building ___AI-powered apps with vector databases

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📸 Screenshots / Demo

• Live demo: https://playground.opensearch.org/
• GitHub: https://github.com/opensearch-project

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🔥 Project Status

• 🟢 Actively building

Last updated: 2026-03-24

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❓ FAQ

Is this project free?

Yes / Open Source (Fully free under Apache 2.0 license; no paid tiers for core software, managed services available via AWS etc.)

Is the source code available?

Yes — https://github.com/opensearch-project/OpenSearch and https://github.com/opensearch-project/OpenSearch-Dashboards

Can I contribute?

Yes, check GitHub issues, submit PRs following CONTRIBUTING.md, join forums, or participate in working groups. Over 1,000 contributors welcome!

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📬 Contact & Links

• Website: https://opensearch.org
• GitHub: https://github.com/opensearch-project
• Twitter/X: https://x.com/OpenSearchProj
• Email: (Community forums at https://forum.opensearch.org/)

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