Meilisearch Cloud vs OpenSearch Search

Meilisearch Cloud vs OpenSearch Specs
  • Free Tier Allowance
  • Rate Limit Cap
  • Session Lifetime
  • Overage Fee per 1k MAU
Comparison chart between Meilisearch Cloud and OpenSearch raw data
MetricMeilisearch CloudOpenSearch
Free Tier Allowance100,000 RecordsOpen Source
Rate Limit Cap1,000 Concurrent RequestsCluster Bound
Session Lifetime24 Hours24 Hours
Overage Fee per 1k MAU15 USD/node$0
Deploy Meilisearch Cloud
👉 100,000 Free Records • Typos-Tolerant Search API
Deploy OpenSearch Core
👉 100% Open Source Apache 2.0 • Community Driven
Meilisearch Cloud
MFA Support:
Enforced via Meilisearch Cloud account two-factor authentication
Enterprise SSO SAML:
Available on Enterprise plans with SAML and organization RBAC
Custom Domain Support:
Custom API endpoints and dedicated instances on Enterprise tiers
Supported SDKs:
JavaScript, Python, PHP, Ruby, Go, Rust, Java, .NET, Dart
Social Providers:
GitHub OAuth for cloud project provisioning
Compliance Standards:
SOC 2 Type II, GDPR; HIPAA on Enterprise agreements
Webhook Fallback Policy:
Task webhooks with status polling and configurable retry on failed batches
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
Meilisearch Cloud
Enable embedders in the same index to blend keyword relevance with semantic vectors without a separate vector database.
OpenSearch
Enable k-NN vector search plugins early when building hybrid retrieval pipelines to avoid reindexing after traffic scales.