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Head-to-head · AI Search and Discovery Platforms Software

Amazon Kendra vs Google Vertex AI Search

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side

Amazon Kendra leads on 0 checks, Google Vertex AI Search on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon Kendra · 9.2/10
  • Free trialonly Amazon Kendra

Amazon Kendra scores higher on our rubric for ai search and discovery platforms software: 9.2 against 9.1 out of 10; our editors rank them #2 and #3.

Amazon Kendra is the better fit for existing Kendra customers searching internal content. Google Vertex AI Search is the better fit for google Cloud teams building grounded AI search.

  • Amazon Kendra fits best

    Existing Kendra customers searching internal content

  • Google Vertex AI Search fits best

    Google Cloud teams building grounded AI search

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Side by side

Feature Amazon Kendra 9.2/10 Visit ↗ Google Vertex AI Search 9.1/10 Visit ↗
At a glance
Editor score 9.2 9.1
Ranking #2 in AI Search and Discovery Platforms Software #3 in AI Search and Discovery Platforms Software
Best for Existing Kendra customers searching internal content Google Cloud teams building grounded AI search
Pricing model Paid Paid
Starting price $0.32 usage-based $1/GB/mo
Free plan — —
Free trial 30 days —
Deployment Cloud Cloud
Platforms Web Web
Support Docs Community, Docs
Integrations 32+ integrations 5 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Amazon Kendra 0/4 · Google Vertex AI Search 0/4
Semantic search Not checked yet Not checked yet
Recommendations Not checked yet Not checked yet
Personalized results Not checked yet Not checked yet
Search analytics Not checked yet Not checked yet
Specs
Deployment Not checked yet Cloud
Connectable data sources Not checked yet Not checked yet
Our review
Pros
  • Searches structured and unstructured content with natural-language answers
  • ACL and user-context filtering help respect document access controls
  • Native connectors, scheduled sync, and a Retriever API support RAG workflows
  • Searches websites, structured data, and unstructured documents
  • Combines keyword and semantic retrieval with filters and facets
  • Generates grounded answers with citations and supports personalization
Cons
  • AWS says Amazon Kendra is no longer open to new customers
  • Hourly usage pricing makes ongoing costs depend on runtime
  • Developer Edition has limited document capacity and query throughput
  • Paid service with query, storage, and throughput charges
  • Configurable query capacity has a 1,000-query-per-minute minimum
  • Cloud deployment and Google Cloud integrations shape platform fit
Our verdict

Amazon Kendra is a managed enterprise search service from Amazon Web Services for organizations that need to find information across structured and unstructured repositories. It combines natural-language question answering, extracted…

Read the review →

Google Vertex AI Search is a managed search and content-discovery service for applications working with websites, structured data, and unstructured documents. It is aimed at development teams building search experiences on Google Cloud,…

Read the review →
  1. Amazon KendraAI Search and Discovery Platforms Software 9.230-day trial
  2. Google Vertex AI SearchAI Search and Discovery Platforms Software 9.1Paid

Strengths and trade-offs

  • Amazon Kendra — where it wins

    • Searches structured and unstructured content with natural-language answers
    • ACL and user-context filtering help respect document access controls
    • Native connectors, scheduled sync, and a Retriever API support RAG workflows

    Where it doesn't

    • AWS says Amazon Kendra is no longer open to new customers
    • Hourly usage pricing makes ongoing costs depend on runtime
    • Developer Edition has limited document capacity and query throughput
  • Google Vertex AI Search — where it wins

    • Searches websites, structured data, and unstructured documents
    • Combines keyword and semantic retrieval with filters and facets
    • Generates grounded answers with citations and supports personalization

    Where it doesn't

    • Paid service with query, storage, and throughput charges
    • Configurable query capacity has a 1,000-query-per-minute minimum
    • Cloud deployment and Google Cloud integrations shape platform fit

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update