Need advice about which tool to choose?Ask the StackShare community!

Amazon Kendra

53
141
+ 1
0
Azure Search

77
218
+ 1
16
Add tool

Amazon Kendra vs Azure Search: What are the differences?

Key Differences between Amazon Kendra and Azure Search

Amazon Kendra and Azure Search are two popular search services provided by Amazon Web Services (AWS) and Microsoft Azure, respectively. While both services offer search capabilities, there are several key differences between Amazon Kendra and Azure Search that make them suitable for different use cases.

  1. Natural Language Processing (NLP):

    • Amazon Kendra incorporates advanced natural language processing techniques to understand context, synonyms, and linguistic nuances to deliver highly relevant search results.
    • Azure Search, on the other hand, offers basic text indexing and querying capabilities without inherent language understanding, making it more suitable for less complex search scenarios.
  2. AI-powered Relevance Ranking:

    • Amazon Kendra employs machine learning algorithms and ranking models to provide AI-powered relevance ranking, ensuring that the most accurate and contextually appropriate search results are displayed.
    • Azure Search relies on basic relevance ranking techniques, mainly focused on factors like term frequency and document popularity, without leveraging advanced AI capabilities.
  3. Data Connectivity and Integration:

    • Amazon Kendra seamlessly integrates with various data sources such as databases, file systems, SharePoint, and more, allowing efficient access to a wide range of enterprise information for indexing.
    • Azure Search provides connectors to popular data sources, but the range of supported sources is comparatively limited, making it more suitable for scenarios with less diverse data sources.
  4. Document Extraction and Analysis:

    • Amazon Kendra features built-in document extraction and analysis capabilities, enabling automatic extraction of relevant information, entity recognition, and other metadata processing tasks.
    • Azure Search relies on pre-processing and data enrichment steps before indexing or by using additional services, like Azure Cognitive Services, for document analysis, making it less comprehensive for out-of-the-box document handling.
  5. Language Support:

    • Amazon Kendra supports a wide range of languages, including English, Spanish, German, French, Japanese, and Portuguese, making it suitable for multinational organizations.
    • Azure Search also supports multiple languages but has a more limited list of supported languages compared to Amazon Kendra.
  6. Pricing and Cost Model:

    • Amazon Kendra follows a pricing structure based on the number of documents indexed and the number of queries executed, which can make it more cost-effective for organizations indexing a large amount of data.
    • Azure Search offers different pricing tiers based on features and search capacity. However, some advanced features might require additional resources or services, potentially increasing the overall cost.

In summary, Amazon Kendra and Azure Search differ in terms of natural language processing capabilities, AI-powered relevance ranking, data connectivity and integration, document extraction and analysis, language support, and pricing models. Organizations should evaluate these differences to determine which service best aligns with their search requirements and business needs.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Amazon Kendra
Pros of Azure Search
    Be the first to leave a pro
    • 4
      Easy to set up
    • 3
      Auto-Scaling
    • 3
      Managed
    • 2
      Easy Setup
    • 2
      More languages
    • 2
      Lucene based search criteria

    Sign up to add or upvote prosMake informed product decisions

    Cons of Amazon Kendra
    Cons of Azure Search
    • 3
      Expensive
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      What is Amazon Kendra?

      It is a highly accurate and easy to use enterprise search service that’s powered by machine learning. It delivers powerful natural language search capabilities to your websites and applications so your end users can more easily find the information they need within the vast amount of content spread across your company.

      What is Azure Search?

      Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.

      Need advice about which tool to choose?Ask the StackShare community!

      Jobs that mention Amazon Kendra and Azure Search as a desired skillset
      What companies use Amazon Kendra?
      What companies use Azure Search?
      See which teams inside your own company are using Amazon Kendra or Azure Search.
      Sign up for StackShare EnterpriseLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Amazon Kendra?
      What tools integrate with Azure Search?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to Amazon Kendra and Azure Search?
      Elasticsearch
      Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
      Azure Cognitive Search
      It is the only cloud search service with built-in AI capabilities that enrich all types of information to easily identify and explore relevant content at scale. Formerly known as Azure Search, it uses the same integrated Microsoft natural language stack that Bing and Office have used for more than a decade and AI services across vision, language and speech. Spend more time innovating and less time maintaining a complex cloud search solution.
      Algolia
      Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
      Amazon Elasticsearch Service
      Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.
      Swiftype
      Swiftype is the easiest way to add great search to your website or mobile application.
      See all alternatives