MENU
GET LISTED
GET LISTED
SHOW ALLPOPULAR CATEGORIES

Azure Search Review

Azure Search
Our score: 9.9 User satisfaction: 99%

What is Azure Search?

Azure Search is an AI-powered search-as-a-service cloud solution developed by the tech giant Microsoft Corporation to help businesses and app developers build a search solution that optimizes the search performance of their web, mobile, and enterprise applications. Azure Search uses artificial intelligence capabilities to extract data from unstructured or non-searchable content, structure and enrich the data, and organize them into documents before being indexed.

With Azure Search, users will be able to quickly create a search index, upload data into it, and set up search queries through the aid of common API calls and using the Microsoft .NET SDK. Once the search index is up and running, the solution ensures that it can instantly return search results even if there is a high volume of traffic coming in or there is a large amount of data that needs to be transmitted.

The search-as-a-service cloud solution allows users to enable search capabilities on their applications so they can improve how users search and access content. These capabilities include search suggestions, faceted navigation, filters, hit highlighting, sorting, and paging. It also allows users to take advantage of its natural language processing techniques, modern query syntaxes, and sophisticated search features. Last but not least, Azure Search offers monitoring and reporting features. Users can gain insights into what people are searching for and entering into the search box as well as access reports that show metrics related to queries, latency,  and more.

Overview of Azure Search Benefits

Incorporate Artificial Intelligence Through Cognitive Search Feature

One of the unique and powerful capabilities offered by Azure Search is that incorporates artificial intelligence into the indexing process. This can be observed in its feature called Cognitive Search. This feature enables users to automatically extract data from source documents or contents and convert them into structured and searchable data which will be a part of the search index later on. How the data is transformed depends on the set of steps and resources that users set up which are known as cognitive skills. These skills use AI algorithms and they are very useful for structuring and enriching data.

Source Data And Document Cracking

The Cognitive Search feature operates through a pipeline which is divided into different phases which include source data and document cracking, cognitive skills and enrichment, and search index and query-based access phase. The first phase of the pipeline involves the process of extracting text or image-based content from source documents. Through document cracking, users will be able to extract or generate text-based content from image files or non-text sources. In this phase, the content is not yet structured and searchable.

Convert Unstructured Content To Searchable Content

The second phase of the pipeline is very critical, as this is the phase where the cognitive skills play a major role, helping users gain insights into the extracted or generated content, make inferences on it, and convert it to a structured and searchable content. Azure Search is comprised of two general types of cognitive skills: Predefined cognitive skills and custom cognitive skills. A set of cognitive skills is called skillset. One of the predefined skills that users can apply is the Named Entity Recognition cognitive skill. With this skill, named entities or data are instantly extracted from the content such as names of persons, locations, or organizations. Another predefined skill is the Key Phrase Extraction cognitive skill. This skill permits users to generate a list of phrases from an unstructured content.

Custom Cognitive Skills And Enriched Documents

When it comes to custom cognitive skills, these are skills that can be set up by users to perform special data evaluation processes and indexing operations. For instance, they can extract data based on a specific area of specialization. After the contents are processed, they are then organized into a collection of enriched documents. Whatever data or content found in those documents can be mapped to the index fields that comprised the search index. However, users have the option to decide which data or content they want to include in the search index. Once the content is mapped to the index field in the search index, it will now become one of those contents that the search solution will return as it generates search results for queries.

Apply Full-Text Search And Text Analysis To Heterogeneous Contents

Azure Search like other search solutions and services is using a very common technique called full-text search and text analysis. In this technique, a search engine or solution checks all the words contained within a stored document or a full-text database and returns search results based on the query made. However, although others are applying such technique, it sometimes only work on contents that are managed by the same database management system. On the contrary, Azure Search’s full-text search capability can be implemented even for contents that belong to different database management systems, allowing users to store and search contents from heterogeneous sources.

Leverage The Lucene Query Syntax

In performing full-text search and text analysis, Azure Search supports the implementation of the industry-leading search query syntax called Lucene query syntax. This is a query language developed by Apache and users can apply and enable such syntax as they build search queries for their search solution. The Lucene query syntax is recommended for various types of query operations such as what is popularly known as fuzzy search. A fuzzy search is used for searching for words or terms that are different in spelling but may share one or more similar letters (e.g. blue, blues, and glue).

Another type of query operation where the syntax can be applied is when performing a proximity search. Here, words that are close to each other are the ones being searched. A tilde “~” symbol is added at the end of the two words and followed by a number. This number is the proximity boundary and it defines the distance which is the maximum number of intermediary words. For example, when the expression “hotel airport”~5 is entered, “hotel” and “airport” will be searched within 5 words of each other in the document.

Tailor Your Search Results To Your Business Using Rank Scoring

Azure Search is also equipped with a relevance modeling capability. With this capability, users can customize how they score the ranking of contents or items appearing in their search results. Basically, a content that has a high score also has a high relevance, placing it at the top of the search results. By creating their own scoring profiles, users will be able to define the relevance and ranking of contents in the search results. In other words, they can configure how contents are showing in the search results, tailoring them to their business requirements and goals. For example, if they are promoting new products, they can set up scoring profiles for these products so that they will rank higher in the search results.

Overview of Azure Search Features

  • Build a Great Enterprise Search Solution
  • Incorporate AI to the Indexing Process
  • Cognitive Skills
  • Extract Unstructured Content From Source Documents
  • Convert Unstructured Content to Searchable Content
  • Generate Enriched Documents
  • Fully-Managed Search Service
  • Quickly Provision Search
  • Set Up and Manage Search Index through API Calls and Microsoft .NET SDK
  • Full-Text Search
  • Simple Query Syntax
  • Lucene Query Syntax
  • Data Integration
  • Linguistic Analysis
  • Geo-Search
  • User Experience Features
  • Relevance
  • Monitoring and Reporting
  • Tools for Prototyping and Inspection

Azure Search Position In Our Categories

Since businesses have particular business needs, it is only prudent they steer clear of seeking a one-size-fits-all, “perfect” business application. Be that as it may, it would be almost impossible to try to chance on such a software system even among widely used software products. The clever step to do would be to take note of the numerous main factors which require inspection like major features, price plans, technical skill levels of the employees, organizational size, etc. The second step is, you must do the product research thoroughly. Browse through these Azure Search evaluations and look into the other software programs in your list more closely. Such all-encompassing product research ascertain you keep away from ill-fitting software solutions and select the system which offers all the aspects your company requires.

Position of Azure Search in our main categories:

TOP 3

Azure Search is one of the top 3 Site Search Solutions products

If you are considering Azure Search it could also be a good idea to investigate other subcategories of Site Search Solutions listed in our database of SaaS software reviews.

It is essential to note that hardly any app in the Site Search Solutions category will be a perfect solution that can fulfill all the requirements of different company types, sizes and industries. It may be a good idea to read a few Azure Search Site Search Solutions reviews first as certain solutions can excel just in a very small set of applications or be created with a really specific type of industry in mind. Others can function with an idea of being simple and intuitive and as a result lack advanced functions welcomed by more experienced users. There are also solutions that focus on a wide group of customers and offer a complex feature toolbox, but that frequently comes at a higher price of such a software. Ensure you're aware of your requirements so that you pick a solution that offers exactly the features you look for.

How Much Does Azure Search Cost?

Azure Search Pricing Plans:

Free Trial

Free

Free

Basic

$73.73/mo.

Standard S1

$245.28/mo.

Standard S2

$981.12/mo.

Standard S3

$1,962.24/mo.

Alongside its free plan, Azure Search offers several SMB and enterprise pricing for all users to choose from. The plans are using pricing method wherein you only need to pay for the number of search units you used or provisioned for a given hour. Search units are the Azure Search resources used for your service. In addition, the pricing of the plans varies depending on the number of replicas and partitions you can use for scaling, the storage capacity you need for the partitions, the number of indices you can set up per service, and the region you belong.

The search units which you can use can also be combined to process more search queries per second, increase the number documents you can upload and manage, speed up data ingestion, and improve search performance. Moreover, you will be charged with a corresponding bandwidth cost when you transmit data in and out of Azure data centers. Please visit the official website of Microsoft Azure to check the rates for data transfer and bandwidth usage. Meanwhile, here are the details on Azure Search’s pricing plans:

Free

  • Free
  • Storage – 50 MB
  • Max indexes per service – 3
  • Documents Hosted – 10,000 documents
    • West Central US, East Asia, Japan West
  • Data Transfer – Standard rates apply

Basic

  • Price Per Search Unit -$73.73/mo. or $0.101/hr.
    • East US, East US 2, North Central US, South Central US, West Central US, West US, West US 2, North Europe, West Europe, East Asia, Southeast Asia
  • Price Per Search Unit – $97.09/month or $0.133/hour
    • Japan West, Brazil South
  • Storage – 2 GB per service
  • Max indexes per service – 5
  • Documents Hosted – 1 million
    • West Central US, East Asia, Japan West
  • Scale out limits – Up to 3 units per service
  • Data Transfer – Standard rates apply

Standard S1

  • Price Per Search Unit – $245.28/mo. or $0.336/hr.
    • East US, East US 2, North Central US, South Central US, West Central US, West US, West US 2, North Europe, West Europe, East Asia, Southeast Asia
  • Price Per Search Unit – $$324.12/mo. or $0.444/hr.
    • Japan West, Brazil South
  • Storage – 25 GB/partition (max 300 GB documents per service)
  • Max indexes per service – 50
  • Documents Hosted – 15 million/partition (up to 180 million documents per service)
    • West Central US, East Asia, Japan West
  • Scale out limits – Up to 36 units per service (max 12 partitions; max 12 replicas)
  • Data Transfer – Standard rates apply

Standard S2

  • Price Per Search Unit – $981.12/mo. or $1.344/hr.
    • East US, East US 2, North Central US, South Central US, West Central US, West US, West US 2, North Europe, West Europe, East Asia, Southeast Asia
  • Price Per Search Unit – $1,295.02/mo. or $1.774/hr.
    • Japan West, Brazil South
  • Storage – 100 GB/partition (max 1.2 TB documents per service)
  • Max indexes per service – 200
  • Documents Hosted – 60 million/partition (up to 720 million documents per service)
    • West Central US, East Asia, Japan West
  • Scale out limits – Up to 36 units per service (max 12 partitions; max 12 replicas)
  • Data Transfer – Standard rates apply

Standard S3

  • Price Per Search Unit – $1,962.24/mo. or  $2.688/hr.
    • East US, East US 2, North Central US, South Central US, West Central US, West US, West US 2, North Europe, West Europe, East Asia, Southeast Asia
  • Price Per Search Unit – $2,592.96/mo. or  $3.552/hr.
    • Japan West, Brazil South
  • Storage – 200 GB/partition (max 2.4 TB documents per service)
  • Max indexes per service – 200 or 1000/partition in high density mode*
  • Documents Hosted – 120 million/partition (up to 1.4 billion documents per service) or 1m/index in high density mode*
    • West Central US, East Asia, Japan West
  • Scale out limits – Up to 36 units per service (max 12 partitions; max 12 replicas) up to 12 replicas in high density mode*
  • Data Transfer – Standard rates apply

*High density (HD) mode is an option available within the standard S3 service that allows a larger number of indexes to be created in a single service. Using HD mode, a service can create up to 1,000 indexes/partition, where an index may be no more than 1 million documents (or 2 GB storage), and the total number of documents and storage across all indexes may not exceed 120 million documents/partition or 200 GB/partition.

User Satisfaction

Positive Social Media Mentions 203
Negative Social Media Mentions 1

We realize that when you make a decision to buy Site Search Solutions it’s important not only to see how experts evaluate it in their reviews, but also to find out if the real people and companies that buy it are actually satisfied with the product. That’s why we’ve created our behavior-based Customer Satisfaction Algorithm™ that gathers customer reviews, comments and Azure Search reviews across a wide range of social media sites. The data is then presented in an easy to digest form showing how many people had positive and negative experience with Azure Search. With that information at hand you should be equipped to make an informed buying decision that you won’t regret.

Video

Technical details

Devices Supported

  • Windows
  • Linux
  • Mac
  • Web-based

Deployment

  • Cloud Hosted
  • Open API

Language Support

  • English
  • Chinese
  • German
  • Hindi
  • Japanese
  • Spanish
  • French
  • Russian
  • Italian
  • Dutch
  • Portugese
  • Polish
  • Turkish
  • Swedish

Pricing Model

  • Free
  • Monthly payment

Customer Types

  • Small Business
  • Large Enterprises
  • Medium Business

What Support Does This Vendor Offer?

  • email
  • phone
  • live support
  • training
  • tickets

Popular Azure Search Alternatives

Top Competitors To Azure Search By Price

Trending Site Search Solutions Reviews

Product name:
Score:
Satisfaction:
8.0
100%

Azure Search Comparisons

What are Azure Search pricing details?

Azure Search Pricing Plans:

Free Trial

Free

Free

Basic

$73.73/mo.

Standard S1

$245.28/mo.

Standard S2

$981.12/mo.

Standard S3

$1,962.24/mo.

Alongside its free plan, Azure Search offers several SMB and enterprise pricing for all users to choose from. The plans are using pricing method wherein you only need to pay for the number of search units you used or provisioned for a given hour. Search units are the Azure Search resources used for your service. In addition, the pricing of the plans varies depending on the number of replicas and partitions you can use for scaling, the storage capacity you need for the partitions, the number of indices you can set up per service, and the region you belong.

The search units which you can use can also be combined to process more search queries per second, increase the number documents you can upload and manage, speed up data ingestion, and improve search performance. Moreover, you will be charged with a corresponding bandwidth cost when you transmit data in and out of Azure data centers. Please visit the official website of Microsoft Azure to check the rates for data transfer and bandwidth usage. Meanwhile, here are the details on Azure Search’s pricing plans:

Free

  • Free
  • Storage – 50 MB
  • Max indexes per service – 3
  • Documents Hosted – 10,000 documents
    • West Central US, East Asia, Japan West
  • Data Transfer – Standard rates apply

Basic

  • Price Per Search Unit -$73.73/mo. or $0.101/hr.
    • East US, East US 2, North Central US, South Central US, West Central US, West US, West US 2, North Europe, West Europe, East Asia, Southeast Asia
  • Price Per Search Unit – $97.09/month or $0.133/hour
    • Japan West, Brazil South
  • Storage – 2 GB per service
  • Max indexes per service – 5
  • Documents Hosted – 1 million
    • West Central US, East Asia, Japan West
  • Scale out limits – Up to 3 units per service
  • Data Transfer – Standard rates apply

Standard S1

  • Price Per Search Unit – $245.28/mo. or $0.336/hr.
    • East US, East US 2, North Central US, South Central US, West Central US, West US, West US 2, North Europe, West Europe, East Asia, Southeast Asia
  • Price Per Search Unit – $$324.12/mo. or $0.444/hr.
    • Japan West, Brazil South
  • Storage – 25 GB/partition (max 300 GB documents per service)
  • Max indexes per service – 50
  • Documents Hosted – 15 million/partition (up to 180 million documents per service)
    • West Central US, East Asia, Japan West
  • Scale out limits – Up to 36 units per service (max 12 partitions; max 12 replicas)
  • Data Transfer – Standard rates apply

Standard S2

  • Price Per Search Unit – $981.12/mo. or $1.344/hr.
    • East US, East US 2, North Central US, South Central US, West Central US, West US, West US 2, North Europe, West Europe, East Asia, Southeast Asia
  • Price Per Search Unit – $1,295.02/mo. or $1.774/hr.
    • Japan West, Brazil South
  • Storage – 100 GB/partition (max 1.2 TB documents per service)
  • Max indexes per service – 200
  • Documents Hosted – 60 million/partition (up to 720 million documents per service)
    • West Central US, East Asia, Japan West
  • Scale out limits – Up to 36 units per service (max 12 partitions; max 12 replicas)
  • Data Transfer – Standard rates apply

Standard S3

  • Price Per Search Unit – $1,962.24/mo. or  $2.688/hr.
    • East US, East US 2, North Central US, South Central US, West Central US, West US, West US 2, North Europe, West Europe, East Asia, Southeast Asia
  • Price Per Search Unit – $2,592.96/mo. or  $3.552/hr.
    • Japan West, Brazil South
  • Storage – 200 GB/partition (max 2.4 TB documents per service)
  • Max indexes per service – 200 or 1000/partition in high density mode*
  • Documents Hosted – 120 million/partition (up to 1.4 billion documents per service) or 1m/index in high density mode*
    • West Central US, East Asia, Japan West
  • Scale out limits – Up to 36 units per service (max 12 partitions; max 12 replicas) up to 12 replicas in high density mode*
  • Data Transfer – Standard rates apply

*High density (HD) mode is an option available within the standard S3 service that allows a larger number of indexes to be created in a single service. Using HD mode, a service can create up to 1,000 indexes/partition, where an index may be no more than 1 million documents (or 2 GB storage), and the total number of documents and storage across all indexes may not exceed 120 million documents/partition or 200 GB/partition.

What integrations are available for Azure Search?

Azure Search integrates with the following data sources from Microsoft Azure:

  • Azure SQL Database
  • Azure Cosmos DB
  • Azure Blob Storage
Note

Azure Search
is waiting for
your first review.

Arrow

Write your own review of this product

ADD A REVIEW

More reviews from 0 actual users:

women man women man man women

Join a community of 7,369 SaaS experts

Thank you for the time you take to leave a quick review of this software. Our community and review base is constantly developing because of experts like you, who are willing to share their experience and knowledge with others to help them make more informed buying decisions.

Sign in with LinkedIn Why we require LinkedIn?
  • Show the community that you're an actual user.
  • We will only show your name and profile image in your review.
  • You can still post your review anonymously.

OR

Sign in with company email

Sign in with company email

Reviewed By Louie Andre
Page last modified
Did you find this review useful?
Yes No

Thank you for your feedback

How can we make this page better?

Unsure about this software?
FIND ALTERNATIVES
TOP

Why is FinancesOnline free? Why is FinancesOnline free?

FinancesOnline is available for free for all business professionals interested in an efficient way to find top-notch SaaS solutions. We are able to keep our service free of charge thanks to cooperation with some of the vendors, who are willing to pay us for traffic and sales opportunities provided by our website. Please note, that FinancesOnline lists all vendors, we’re not limited only to the ones that pay us, and all software providers have an equal opportunity to get featured in our rankings and comparisons, win awards, gather user reviews, all in our effort to give you reliable advice that will enable you to make well-informed purchase decisions.