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  3. Azure AI Search
Logo of Azure AI Search

Azure AI Search

byMicrosoft
in
4.2
Market Presence: Enterprise AI Search, Search and Product Discovery

Overview

Product Information on Azure AI Search

Updated 13th October 2025

What is Azure AI Search?

Azure AI Search is a cloud-based software providing search-as-a-service capabilities that allow users to create, manage, and scale search experiences for web and enterprise applications. The software enables integration of search functionality with artificial intelligence features such as language understanding, image recognition, and natural language processing, aiding in extracting relevant information from a variety of data sources including documents, databases, and media. Azure AI Search supports indexing and querying unstructured and structured data, provides cognitive skills to enrich content, and offers features for filtering, sorting, and faceting results. This software addresses business challenges related to information retrieval, content discovery, and knowledge management, facilitating efficient access to data across diverse datasets.

Azure AI Search Pricing

Azure AI Search software utilizes a consumption-based pricing model, where charges are based on the number of search units provisioned and the service tier selected. Pricing differs according to resource levels, including storage and query capacity, with options for standard and high-density configurations. Additional costs may apply for network egress and optional features such as semantic search.

Overall experience with Azure AI Search

Software Developer
30B + USD, Consumer Goods
FAVORABLE

“Agentic Retrieval Potentially Transforms Advanced RAG Solutions in Azure AI Search”

4.0
May 4, 2026
Azure AI search is good but i'm wondering if we can tweak the inbuilt algorithm for example currently it's supporting BM25 for keyword matching it would be really good if they can include more options into it
Software Developer
<50M USD, Software
CRITICAL

“Powerful Azure AI Search Yet Steep Learning Curve For Advanced Configurations”

3.0
Apr 15, 2026
Overall, Azure AI Search has been a solid experience. It’s quite powerful when you start combining it with other Azure services like Blob Storage or Azure OpenAI, especially for building search or AI-driven applications. It handles indexing and querying well, and once things are set up properly, it performs reliably. That said, getting started isn’t the easiest. There’s definitely a learning curve, and I often felt that the documentation could be clearer—especially when trying to implement more advanced use cases. More real-world examples would make a big difference.

About Company

Company Description

Updated 11th August 2023

Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement. Microsoft Security helps protect people and data against cyberthreats to give peace of mind.

Company Details

Updated 25th March 2024
Company type
Public
Year Founded
1975
Head office location
Redmond, Washington, United States
Number of employees
10000+
Annual Revenue
30B+ USD
Website
https://microsoft.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Azure AI Search Reviews and Ratings

Showing data for 57 ratings and reviews for Search and Product Discovery market. View all 216 ratings and reviews across markets for a complete picture.

4.2

(57 Ratings)

Rating Distribution

5 Star
37%
4 Star
49%
3 Star
14%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.3

Integration & Deployment

4.3

Service & Support

4.2

Product Capabilities

4.4

Filter Reviews
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Reviewer's Job Function
  • Software Developer
    <50M USD
    Software
    Review Source

    Powerful Azure AI Search Yet Steep Learning Curve For Advanced Configurations

    3.0
    Apr 15, 2026
    Overall, Azure AI Search has been a solid experience. It’s quite powerful when you start combining it with other Azure services like Blob Storage or Azure OpenAI, especially for building search or AI-driven applications. It handles indexing and querying well, and once things are set up properly, it performs reliably. That said, getting started isn’t the easiest. There’s definitely a learning curve, and I often felt that the documentation could be clearer—especially when trying to implement more advanced use cases. More real-world examples would make a big difference.
  • Software Developer
    10B+ USD
    Consumer Goods
    Review Source

    Agentic Retrieval Potentially Transforms Advanced RAG Solutions in Azure AI Search

    4.0
    May 4, 2026
    Azure AI search is good but i'm wondering if we can tweak the inbuilt algorithm for example currently it's supporting BM25 for keyword matching it would be really good if they can include more options into it
  • It Associate
    50M-1B USD
    IT Services
    Review Source

    Scalable Search Engine With Natural Language Understanding Supports Large Dataset Handling

    4.0
    Mar 9, 2026
    Overall, my experience with Azure AI Search has been positive. It is fast and reliable and is well equipped with other Azure Services. The setup of the indexes is pretty straightforward, however it takes a little time to master the advanced customization.
  • Manager
    Gov't/PS/Ed
    Education
    Review Source

    Customizable search experience, but some features need refinement

    4.0
    Jun 11, 2026
    i like that is able to handle a number of documents 2. I like that it also works very well with Microsoft
  • IT MANAGER
    <50M USD
    Miscellaneous
    Review Source

    Azure AI Search Simplifies Large Dataset Indexing But Setup Can Be Complex

    5.0
    Nov 9, 2025
    Overall experience with Azure AI search is very good and positive. I like the features that Azure AI search offers including Natural Language Queries and Semantic Search. It also makes it simple to index and search large datasets. It also provides seamless integration with other Azure products and has the ability to scale based on the workload, which is the major advantage of this service.
...
Showing Result 1-5 of 74

Recommended Gartner Insights

  • Critical Capabilities for Search and Product Discovery
  • Magic Quadrant for Search and Product Discovery
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User Sentiment About Azure AI Search

Azure AI Search Likes & Dislikes

Like

Agentic retrieval i feel it's game changing for advance RAG based solutions

Like

It works really well within the Azure ecosystem (easy to connect to storage, AI services, etc.). It also has good support for both traditional and vector-based search use cases, and it scales well and handles large datasets without much issue. Also, the flexible indexing and schema design options are really good

Like

It provides a powerful and scalable search engine with natural language understanding which has been really helpful for us for handling large datasets.

Dislike

Agentic Retrieval use Azure AI foundry foundation model like gptor other LLM's which make it more complicated for the developer rest all is good

Dislike

Documentation can be confusing at times, especially for beginners. Not enough practical examples for real-world implementations are present. Debugging search relevance or tuning results isnt straightforward and requires a lot of deep diving. Understanding indexes, weightages etc.

Dislike

For the larger scale indexes, the price can get a little expensive.

Deciding Factors: Azure AI Search Vs. Market Average
Reviewer Insights for: Azure AI Search
Performance of Azure AI Search Across Market Features