OpenSearch vs Qdrant Cloud Vector Search Search

OpenSearch vs Qdrant Cloud Vector Search Specs
  • Free Tier Allowance
  • Rate Limit Cap
  • Session Lifetime
  • Overage Fee per 1k MAU
Comparison chart between OpenSearch and Qdrant Cloud Vector Search raw data
MetricOpenSearchQdrant Cloud Vector Search
Free Tier AllowanceOpen Source1 GB
Rate Limit CapCluster Bound200 RPS
Session Lifetime24 Hours24 Hours
Overage Fee per 1k MAU$010 USD/GB
Deploy OpenSearch Core
👉 100% Open Source Apache 2.0 • Community Driven
Deploy Qdrant Cloud
👉 1 GB Free Vector Storage • High-Performance Rust Engine
OpenSearch
Free Tier Allowance:
Open Source
Rate Limit Cap:
Cluster Bound
MFA Support:
Enforced via AWS IAM and OpenSearch dashboard access policies
Enterprise SSO SAML:
Supported on Amazon OpenSearch Service with SAML and Cognito federation
Custom Domain Support:
VPC-bound domains with AWS PrivateLink and custom endpoint routing
Supported SDKs:
JavaScript, Python, Java, Go, Ruby, .NET, REST, OpenSearch DSL
Social Providers:
AWS IAM and corporate SSO for OpenSearch Service authentication
Compliance Standards:
SOC 1/2/3, ISO 27001, HIPAA Eligible, PCI-DSS Compliant, FedRAMP Moderate
Webhook Fallback Policy:
Alerting plugins and event-driven indexing with configurable retry policies
Qdrant Cloud Vector Search
MFA Support:
Enforced via Qdrant Cloud console two-factor authentication
Enterprise SSO SAML:
Available on Enterprise with SAML, OIDC, and dedicated clusters
Custom Domain Support:
Private cloud and hybrid deployments on Enterprise tiers
Supported SDKs:
Python, JavaScript, Rust, Go, Java, REST, gRPC, LangChain
Social Providers:
GitHub and Google OAuth for Qdrant Cloud account login
Compliance Standards:
SOC 2 Type II, GDPR; HIPAA on Enterprise agreements
Webhook Fallback Policy:
Snapshot exports and WAL replay for disaster recovery on managed clusters
OpenSearch
Enable k-NN vector search plugins early when building hybrid retrieval pipelines to avoid reindexing after traffic scales.
Qdrant Cloud Vector Search
Use payload indexes on filter fields you query alongside vectors to avoid full-scan payload evaluation at scale.