Amazon OpenSearch Service
Securely unlock real-time search, monitoring, and analysis of business and operational data
Up to 750 hours per month
on t2 and t3 small.search instances with the AWS Free Tier
Improve search relevance, provide nearest neighbor search, and power generative AI applications.
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), as well as visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5 to 7.10 versions). Amazon OpenSearch Service currently has tens of thousands of active customers with hundreds of thousands of clusters under management processing trillions of requests per month.
Use cases
Real-time Log Analytics and Observability
Centralize and analyze security and observability data for real-time threat detection, incident management, and improved application health, enhancing system visibility and customer experiences.
Seamless and personalized search
Boost user engagement and conversions with OpenSearch’s fast, personalized search. Deliver relevant data quickly across applications, websites, and data lake catalogs for enhanced user experience.
Vector database for semantic and multi-modal search
Efficient and price-performant vector search and management for ML and AI coded vectors for anomaly fraud detection and collaborative recommendations, as well supporting search over different media types like image, audio, or video.
Retrieval Augmented Generation (RAG) for generative AI applications
Enhance the accuracy and relevance of responses from large language models (LLMs) by incorporating Retrieval Augmented Generation (RAG) with OpenSearch Service as an external knowledge base.
Features
AWS manages the software installation, upgrades, patching, scaling (up to 3 PB), and cross-region replication with no downtime. Amazon OpenSearch Service is also bundled with a dashboard visualization tool, OpenSearch Dashboards, which helps visualize not only log and trace data, but also machine-learning powered results for anomaly detection and search relevance ranking.
Managed OpenSearch
Run search workloads simply without the hassle of configuring, managing, and scaling OpenSearch clusters. OpenSearch Service provides the power of open-source search with interactive millisecond response times. Additionally, OpenSearch Serverless enables search and log analytics without provisioning and adjusting resources, automatically scaling resources based on your application's needs.
Price performant and scalable vector search for generative AI
The Vector Engine powers generative AI applications with scalable vector storage and search for ML-augmented experiences. You can query billions of embeddings combined with text keywords in milliseconds, connect to foundation models, update embeddings in near real-time, and elevate customer experiences with accurate responses based on business data.
Fully managed data ingestion and transformation
Amazon OpenSearch Ingestion enables ingesting, transforming, and routing data at scale to OpenSearch domains and Serverless collections. It automatically scales to handle demanding workloads, reduces storage costs through deduplication and sampling, enforces data quality with built-in processors and schemas, protects sensitive data through redaction, and routes data based on compliance requirements.
Comprehensive security for search and log analytics
Utilize robust security capabilities to audit and secure search and log analytics data, meeting requirements for authentication, authorization, encryption, audit trails, and regulatory compliance. It offers granular access control, network isolation, secure programmatic access, compliance enablement across industry standards, and security analytics through log collection, normalization, and comparison.
Integration with other AWS Services
Simply integrate with other AWS services to deliver expanded search and analytics functionality. This includes seamless integration with Amazon DynamoDB and Amazon DocumentDB databases for advanced search on stored data, as well as frictionless search across Amazon Simple Storage Service (Amazon S3) to reduce the need for separate data indexing. The service further integrates with AWS model hosting services like Amazon Bedrock and Amazon SageMaker, enabling vector embeddings generation and storage, and AWS CloudTrail and AWS CloudWatch for enhanced cluster management and security auditing.
Please visit our Features page for a full list of OpenSearch Service features and benefits.
Natural Language and Search
Read the O'Reilly Report on Large Language Models (LLMs) for Semantic Search and Generative AI.
Customers
OpenSearch includes certain Apache-licensed Elasticsearch code from Elasticsearch B.V. and other source code. Elasticsearch B.V. is not the source of that other source code. ELASTICSEARCH is a registered trademark of Elasticsearch B.V.
How to get started
What is OpenSearch?
OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch.
Learn more about Amazon OpenSearch Service
Explore security capabilities, storage tiering, and more.
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