Amazon OpenSearch Service (successor to Amazon Elasticsearch Service)

PB-Level Log Analytics Platform, Vector Database and Text Search Engine

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Overview

Operate OpenSearch with the leading contributor of the community-driven, open source software.

Quickly search and analyze your unstructured and semi-structured data to easily find what you need.

Eliminate operational overhead and reduce cost with automated provisioning, software installation, patching, storage tiering, and more.

Fast search on large scale and high-dimension vector data.

How It Works

Amazon OpenSearch Service makes it easy for you to perform interactive log analytics, real-time application monitoring, website search, and more. OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch. Amazon OpenSearch Service offers the latest versions of OpenSearch, support for 19 versions of Elasticsearch (1.5 to 7.10 versions), and visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5 to 7.10 versions).

A data flow diagram illustrating how log files, messages, metrics, config info, and documents are captured and processed by Amazon OpenSearch Service (successor to Amazon Elasticsearch Service) to enable application monitoring, security information and event management (SIEM), and search for real-time insights.

Use Cases

Monitor applications and infrastructure

Easily store and analyze data for comprehensive visibility into your system performance with observability logs, metrics, and traces. Set up automated alerts when your system underperforms.

Manage security and event information

Centralize and analyze logs from disparate applications and systems across your network for real-time threat detection and incident management.

Enable seamless, personalized search

Help users quickly find relevant data with a fast, personalized search experience within your applications, websites, and data lake catalogs.

Machine Learning Vector Search

Provides fast search for large scale and high-dimension vector data to support business scenarios, e.g. Large Language Model, Chatbot and Image Retrieval.