Algolia Search API vs OpenSearch Search

Algolia Search API vs OpenSearch Specs
  • Free Tier Allowance
  • Rate Limit Cap
  • Session Lifetime
  • Overage Fee per 1k MAU
Comparison chart between Algolia Search API and OpenSearch raw data
MetricAlgolia Search APIOpenSearch
Free Tier Allowance10,000 SearchesOpen Source
Rate Limit Cap100,000 RecordsCluster Bound
Session Lifetime24 Hours24 Hours
Overage Fee per 1k MAU0.5 USD/1k searches$0
Deploy Algolia Engine
👉 10,000 Free Search Queries/Mo • Lightning API
Deploy OpenSearch Core
👉 100% Open Source Apache 2.0 • Community Driven
Algolia Search API
MFA Support:
Enforced via Algolia dashboard MFA and team access controls
Enterprise SSO SAML:
Available on Premium and Enterprise plans with SAML SSO
Custom Domain Support:
Custom search domains and secured API keys on paid tiers
Supported SDKs:
JavaScript, React, Vue, iOS, Android, Python, PHP, Ruby, Java, .NET
Social Providers:
GitHub and Google OAuth for dashboard authentication
Compliance Standards:
SOC 2 Type II, ISO 27001, GDPR, HIPAA BAA on Enterprise
Webhook Fallback Policy:
Indexing webhooks with retry via Algolia tasks API and monitoring alerts
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
Algolia Search API
Use replica indices for sorting strategies instead of overloading a single index with conflicting ranking formulas.
OpenSearch
Enable k-NN vector search plugins early when building hybrid retrieval pipelines to avoid reindexing after traffic scales.