OpenSearch

Build scalable, high-performance search solutions with out-of-the-box performance, machine learning integrations, and powerful analytics capabilities.
Data Visualization Search Solutions Observability Tools

OpenSearch is a flexible, scalable, open-source solution for building data-driven applications. It lets you explore, enrich and visualize your data with out-of-the-box performance, developer-friendly tools and powerful integrations for machine learning, data processing and more.

OpenSearch includes a variety of features, including:

  • Search: Build search solutions that grow with your data.
  • Observability: Find and surface problems in your applications and infrastructure.
  • Security Analytics: Find and surface security problems in real-time.

Some of OpenSearch's key features include:

  • Geospatial: Build maps into your dashboard.
  • Alerting: Set up static alerts on your cluster or systems.
  • SQL/PPL support: Run query languages your users are familiar with.
  • k-NN/vector database capabilities: Run AI search queries.
  • Learning to Rank: Combine probabilistic ranking with usage data.
  • Anomaly Detection: Find unusual patterns in complex situations.

OpenSearch is fully open-source, licensed under Apache 2.0, which means users can modify, extend, monetize or resell the software. Its flexibility means it can run on a wide range of infrastructure, making it a great foundation for enterprise applications.

OpenSearch is geared for companies that want to build high-performance, customizable search solutions for document collections, e-commerce and applications. It can run on-premises, in hybrid or multicloud environments, and supports high availability.

The community-driven project is maintained and developed by a group of contributors and partners. Interested users can participate through the forum, GitHub and other resources on the OpenSearch website. The project roadmap is publicly maintained, so users can track what's coming and what's being worked on.

OpenSearch comes with a suite of tools, including a data visualization tool, OpenSearch Dashboards, and a server-side data collector, Data Prepper. This lets users build custom pipelines to gain better operational visibility into infrastructure or applications through log and trace data.

For those who want to integrate OpenSearch with existing systems, there are a variety of plugins that can extend search, analytics, observability, security, machine learning and more. This extensibility makes OpenSearch a good choice for companies that need a scalable, high-quality search and analytics suite.

Users can download OpenSearch components in different distributions or get started with the official Docker image. The community forum and documentation offer more resources for getting started and learning about the project.

Published on June 29, 2024

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