

Azure AI Search and Amazon Kendra compete in the AI-powered search services domain. Amazon Kendra appears to have the upper hand due to its comprehensive features and ease of deployment.
Features: Azure AI Search includes cognitive search capabilities, enriched search experiences, and built-in AI skills. Amazon Kendra delivers precise answers through natural language processing, customizable relevance tuning, and integration with various data sources.
Ease of Deployment and Customer Service: Amazon Kendra offers a streamlined deployment process with strong support options. Azure AI Search requires more initial configuration but provides flexible deployment and comprehensive support.
Pricing and ROI: Azure AI Search is known for competitive pricing, resulting in lower setup costs and faster ROI. Amazon Kendra may have higher initial expenses but offers significant ROI through its advanced functionalities and user satisfaction.
| Product | Market Share (%) |
|---|---|
| Amazon Kendra | 8.6% |
| Azure AI Search | 9.6% |
| Other | 81.8% |

| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 2 |
| Large Enterprise | 4 |
Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning. Kendra enables developers to add search capabilities to their applications so their end users can discover information stored within the vast amount of content spread across their company. This includes data from manuals, research reports, FAQs, HR documentation, customer service guides, and is found across various systems such as file systems, web sites, Box, DropBox, Salesforce, SharePoint, relational databases, Amazon S3, and more. When you type a question, the service uses machine learning algorithms to understand the context and return the most relevant results, whether that be a precise answer or an entire document. For example, you can ask a question like "How much is the cash reward on the corporate credit card?” and Kendra will map to the relevant documents and return a specific answer like “2%”. Kendra provides sample code so that you can get started quickly and easily integrate highly accurate search into your new or existing applications.
Azure Search is a search-as-a-service cloud solution that gives developers APIs and tools for adding a rich search experience over your data in web, mobile, and enterprise applications. Functionality is exposed through a simple REST API or .NET SDK that masks the inherent complexity of search technology. In addition to APIs, the Azure portal provides administration and prototyping support. Infrastructure and availability are managed by Microsoft.
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