Amazon Elasticsearch Service
AWS-managed search, analytics, and vector database service for AI-powered applications
À propos de Amazon Elasticsearch Service
Amazon OpenSearch Service simplifies AI-powered search, observability, and vector database operations with a secure, cost-effective managed service. It reduces operational overhead by handling infrastructure management, monitoring, and scaling, while providing enterprise-grade security, high availability, and scalability. Choose between fully managed clusters for precise control or OpenSearch Serverless for automatic resource optimization to efficiently scale vector workloads. The service integrates with AWS and third-party models, supports Retrieval-Augmented Generation (RAG), and offers advanced features like zero-ETL integrations, anomaly detection, and comprehensive security controls.
Tarifs
Page de tarifs complèteOn-Demand Instance
Pay for instance hours, storage, and data transfer based on usage.
Reserved Instance - No Upfront (NURI)
One-year NURIs offer a 31% discount, three-year NURIs offer a 48% discount.
Reserved Instance - Partial Upfront (PURI)
One-year PURIs offer a 33% discount, three-year PURIs offer a 50% discount.
Reserved Instance - All Upfront (AURI)
One-year AURIs offer a 35% discount, three-year AURIs offer a 52% discount.
Serverless
Pay for compute (OCUs) and storage separately. Minimum of 2 OCUs for the first collection.
Serverless Dev-Test
Cost-cutting option with 0.5 OCU for indexing and 0.5 OCU for search.
OpenSearch Ingestion
Pay for compute (OCUs) needed for data ingestion, transformation, and routing.
Vector Index GPU-Acceleration
Pay for resources consumed during accelerated vector indexing workloads (OCUs, Vector Acceleration).
Vector Auto-Optimize Jobs
Pay a fixed rate for each job involving hyperparameter optimization.
S3 Vectors
Cost-effective vector storage with pricing based on PUT, storage, and query costs.
Automatic Semantic Enrichment
Pay for compute (OCUs) consumed for generating semantic encodings during data ingestion.
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