Sinequa vs Amazon Kendra

Sinequa—Visit Amazon Kendra9.0Visit

Sinequa #1 in AI Enterprise Search Software —/10 Pricing on request ✓ 3 of 3 features Visit Sinequa

vs

Higher score Amazon Kendra #4 in AI Enterprise Search Software 9.0/10 From $1.12 · 30-day trial ✓ 3 of 3 features Visit AWS

• Sinequa fits best

  Large enterprises needing broad, governed search

• Amazon Kendra fits best

  AWS teams wanting transparent enterprise search pricing

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Side by side

Feature	Sinequa —/10 Visit ↗	Amazon Kendra 9.0/10 Visit ↗
At a glance
Editor score	—	9.0
Ranking	#1 in AI Enterprise Search Software	#4 in AI Enterprise Search Software
Best for	Large enterprises needing broad, governed search	AWS teams wanting transparent enterprise search pricing
Pricing model	Paid	Paid
Starting price	Not published	Not published
Free plan	Not published	—
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud
Platforms	Web	Web
Support	Tickets, Community, Docs	Docs
Integrations	200+ integrations	32+ integrations
Built for	Enterprise	Mid-market, Enterprise
Features Sinequa 3/3 · Amazon Kendra 3/3
Permission sync	✓	✓
Answer citations	✓	✓
Admin controls	✓	✓
Specs
Source connectors	Not published	5
Deployment options	Not published	Cloud
Indexed content limit	Not published	3 GB
Our review
Pros	Combines vector, keyword, graph, structured, and multimodal retrieval Permission-aware search with cited, traceable answers 200+ connectors and SaaS, private-cloud, or on-premises deployment	Natural-language answers with extracted passages and citations ACL filtering, scheduled connectors, and semantic relevance tuning Retriever API supports retrieval-augmented generation workflows
Cons	Pricing requires a contact-sales conversation Its breadth may exceed the needs of teams seeking basic search Enterprise value depends on connecting business data and permissions	Cloud-only deployment No longer open to new customers Usage limits vary substantially by edition
Our verdict	Sinequa is an enterprise AI search and knowledge platform for large organizations with information spread across business applications, documents, databases, email, and other enterprise sources. It combines hybrid vector, keyword, graph,… Read the review →	Amazon Kendra is a managed enterprise search service for organizations that need to find answers across structured and unstructured content. It combines machine learning, natural-language question answering, semantic ranking, FAQ matching,… Read the review →

Strengths and trade-offs

• Sinequa — where it wins

  • Combines vector, keyword, graph, structured, and multimodal retrieval
  • Permission-aware search with cited, traceable answers
  • 200+ connectors and SaaS, private-cloud, or on-premises deployment

  Where it doesn't

  • Pricing requires a contact-sales conversation
  • Its breadth may exceed the needs of teams seeking basic search
  • Enterprise value depends on connecting business data and permissions

• Amazon Kendra — where it wins

  • Natural-language answers with extracted passages and citations
  • ACL filtering, scheduled connectors, and semantic relevance tuning
  • Retriever API supports retrieval-augmented generation workflows

  Where it doesn't

  • Cloud-only deployment
  • No longer open to new customers
  • Usage limits vary substantially by edition

• Sinequa—/10 · Pricing on request

  A governed search platform for large enterprises with complex information estates.

  Visit SinequaFull verdict →
• Amazon Kendra9.0/10 · From $1.12 · 30-day trial

  A capable AWS search service with clear hourly pricing, but it is cloud-only and closed to new customers.

  Visit AWSFull verdict →