DatabaseVector DB

Amazon OpenSearch Service

Amazon OpenSearch Service is a fully managed service from AWS for deploying, operating, and scaling OpenSearch and legacy Elasticsearch clusters for search, log analytics, and observability workloads. It now includes native vector database capabilities, enabling semantic search and retrieval-augmented generation (RAG) over unstructured data. By offloading cluster management and integrating tightly with other AWS services, it helps organizations build scalable search and analytics applications without managing infrastructure.

by Amazon Web Services (AWS)BigTech

Key Features

  • Fully managed OpenSearch and legacy Elasticsearch clusters with automated provisioning, patching, and backups
  • Native vector search support (k-NN, approximate nearest neighbor) for semantic search and RAG workloads
  • Integrated observability suite for logs, metrics, and traces with dashboards and alerting
  • Horizontal and vertical scaling with UltraWarm/Cold storage tiers and multi-AZ deployments
  • Tight integration with AWS ecosystem (Kinesis, S3, Lambda, CloudWatch, IAM, Glue, Bedrock, SageMaker)

Pricing

Paid

Pricing is pay-as-you-go based on instance type and hours, storage (EBS, UltraWarm, Cold), data transfer, snapshots, and optional features such as UltraWarm and cross-AZ replication. There is no separate license fee for OpenSearch; customers pay only for AWS resources consumed. A limited free tier is available for small t2.small.search instances and EBS storage in some regions.

Alternatives

Elasticsearch Service on Elastic CloudOpenSearch (self-managed)PineconeWeaviateAzure AI Search