Amazon Kendra vs Elastic Enterprise Search
No clear leader: Amazon Kendra (46.2) and Elastic Enterprise Search (45.3) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for ai enterprise search. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Amazon Kendra
An AWS-managed service that uses ML and natural language processing to deliver accurate search results and instant answers across structured and unstructured enterprise data. Integrates with generative AI and LLMs for retrieval-augmented generation (RAG) applications.
Elastic Enterprise Search
A distributed, full-text and vector search engine that enables organizations to ingest, analyze, and act on data at scale. Available as open source, managed cloud service, or self-hosted with enterprise features for security monitoring, observability, and compliance requirements.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Elastic Enterprise Search
Free open source tier. Managed cloud from $0. Enterprise self-managed pricing available upon request.
- FreeFree
- Distributed search and analytics engine
- Basic authentication, RBAC, TLS encryption
- OTel, Logstash, Beats integration
- Lexical and semantic search
- Community forum support
- Elastic Cloud (Managed)-
- Production-focused support with weekend coverage
- Hosted on major cloud providers
- Cluster analysis and optimization guidance
- Enterprise Self-ManagedContact sales
- 24/7 expert support (1-15 minute response SLA)
- GDPR, HIPAA, FedRAMP compliance controls
- Searchable snapshots for reduced storage costs
- AI/ML features: ELSER semantic search, Jina multilingual embeddings, anomaly detection
- Elastic Workflows for incident response automation
- +4 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- ServiceNow
Amazon Kendra
- Amazon S3
- Amazon RDS
- Amazon FSx
- Amazon Aurora
- Box
- Confluence Cloud
- Atlassian Confluence Server
- Adobe Experience Manager (AEM)
- Alfresco On-Prem
- Alfresco One
- Microsoft SharePoint
- Salesforce
- Google Drive
Elastic Enterprise Search
- Slack
- Jira
- PagerDuty
- Microsoft Teams
- IBM Resilient
- xMatters
- Logstash
- Beats
- OpenTelemetry
- Elastic Connectors
- OpenAI
- NVIDIA
- Alibaba Cloud
- IBM watsonx
- Vectorize.io
- AWS S3
- Splunk
- Webhooks
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.