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Azure Search is enterprise search as a service, from Microsoft.https://media.trustradius.com/product-logos/T2/Kg/NIRZKWAS15ZU.jpegGreat search software for an enterprise organizationAzure Search is an incredibly robust component of Microsoft's Azure Cloud, which we use at our company for web hosting. We've integrated Azure Search into our website for the purpose of search queries and auto-complete suggestions when checking out via our e-commerce platform. Reducing friction to purchase on a checkout page is of paramount importance. When a user is logged in, we provide auto-complete suggestions based on their previous checkout information. This way, the user can easily tab through their ship-to/bill-to/billing information for minimum purchase friction.,Incredibly robust back-end infrastructure. Streamlined integration into Microsoft's Azure Cloud. From a user standpoint, it lets the customer easily access their data and provide useful search tips.,It's an enterprise level product so you need to have the budget for it. Challenging-to-impossible for a non-technical administrator to implement. It further locks you into Microsoft's ecosystem and doesn't play well with non-Microsoft software. Depending on your point of view, this can be a pro or a con.,8,Our internal market research illustrates that users are finding their desired information faster on account of autosuggest. Time spent on checkout page (for conversions) is significantly decreased. Clicks required on checkout page (for conversions) is significantly decreased.,Google Cloud AI,Microsoft Azure, BigCommerce, Sage 50 AccountingStill haven't found what you're looking for? Try Azure SearchAzure Search provides an intelligent, AI-powered discovery engine for content in LiveTiles Cloud - an Intelligence Experience Platform (IXP) that allows anyone to build a website for their organization.,Azure Search provides a fully-managed service for loading, indexing, and querying content. Azure Search has an easy C# SDK that allows you to implement loading and retrieving data from the service very easy. Any developer with some Microsoft experience should feel immediate familiarity. Azure Search has a robust set of abilities around slicing and presenting the data during a search, such as narrowing by geospatial data and providing an auto-complete capabilities via "Suggesters". Azure Search has one-of-a-kind "Cognitive Search" capabilities that enable running AI algorithms over data to enrich it before it is stored into the service. For example, one could automatically do a sentiment analysis when ingesting the data and store that as one of the searchable fields on the content.,Like virtually all Azure services, it has first-class treatment for .Net as the developer platform of choice, but largely ignores other options. While there is a first-party Python SDK, there are only community packages for other languages like Ruby and Node. Might be a game of roulette for those to be kept up-to-date. This might make it a non-starter for some teams that don't want to do the work to integrate with the REST API directly. In my opinion, partitions inside of Azure Search don't count as data segregation for customers in a multi-tenant app, so any application where you have many customers with high-security concerns, Azure Search is probably a non-starter. To elaborate on the multi-tenant issue: Azure Search's approach to pricing is pretty steep. While there is a free tier for small applications (50MB of content or less) the first paid tier is about 14x more expensive than the first SQL Database tier that supports full-text search. For many applications, it makes a lot more economic sense to just run some LIKE or CONTAINS queries on columns in a table rather than going with Azure Search.,10,Azure Search enabled us to stand up a robust search capability with very few developer hours. The fully-managed service of Azure Search means we get low cost of management (EG, DevOps) going into the future, even though the cost of the service itself definitely reflects the time saved. Azure Search counts as a "Cognitive Service" for Microsoft Azure consumption and aligns our products with Microsoft's interests of driving an AI-first approach in the enterprise. Microsoft Partners, service and product companies alike, should be looking to align with this AI vision as it means favorable treatment from the Microsoft sales teams.,Apache Lucene, Apache Solr, Amazon CloudSearch, Azure SQL Database and Elasticsearch,Azure Active Directory, Microsoft Azure, MS SharePoint
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Azure Search
13 Ratings
Score 8.5 out of 101
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Azure Search Reviews

Azure Search
13 Ratings
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Score 8.5 out of 101

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Blake Baron profile photo
Score 8 out of 10
Vetted Review
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Azure Search is an incredibly robust component of Microsoft's Azure Cloud, which we use at our company for web hosting. We've integrated Azure Search into our website for the purpose of search queries and auto-complete suggestions when checking out via our e-commerce platform. Reducing friction to purchase on a checkout page is of paramount importance. When a user is logged in, we provide auto-complete suggestions based on their previous checkout information. This way, the user can easily tab through their ship-to/bill-to/billing information for minimum purchase friction.
  • Incredibly robust back-end infrastructure.
  • Streamlined integration into Microsoft's Azure Cloud.
  • From a user standpoint, it lets the customer easily access their data and provide useful search tips.
  • It's an enterprise level product so you need to have the budget for it.
  • Challenging-to-impossible for a non-technical administrator to implement.
  • It further locks you into Microsoft's ecosystem and doesn't play well with non-Microsoft software. Depending on your point of view, this can be a pro or a con.
Incredibly robust software for an enterprise organization to plug into their application. If you have a full development resource team at your disposal, this is great software and I highly recommend it. Largely, however, you won't be able to use this prior to the enterprise level. It's just too complicated and cumbersome of a product.
Read Blake Baron's full review
Erik Ralston profile photo
Score 10 out of 10
Vetted Review
Verified User
Review Source
Azure Search provides an intelligent, AI-powered discovery engine for content in LiveTiles Cloud - an Intelligence Experience Platform (IXP) that allows anyone to build a website for their organization.
  • Azure Search provides a fully-managed service for loading, indexing, and querying content.
  • Azure Search has an easy C# SDK that allows you to implement loading and retrieving data from the service very easy. Any developer with some Microsoft experience should feel immediate familiarity.
  • Azure Search has a robust set of abilities around slicing and presenting the data during a search, such as narrowing by geospatial data and providing an auto-complete capabilities via "Suggesters".
  • Azure Search has one-of-a-kind "Cognitive Search" capabilities that enable running AI algorithms over data to enrich it before it is stored into the service. For example, one could automatically do a sentiment analysis when ingesting the data and store that as one of the searchable fields on the content.
  • Like virtually all Azure services, it has first-class treatment for .Net as the developer platform of choice, but largely ignores other options. While there is a first-party Python SDK, there are only community packages for other languages like Ruby and Node. Might be a game of roulette for those to be kept up-to-date. This might make it a non-starter for some teams that don't want to do the work to integrate with the REST API directly.
  • In my opinion, partitions inside of Azure Search don't count as data segregation for customers in a multi-tenant app, so any application where you have many customers with high-security concerns, Azure Search is probably a non-starter.
  • To elaborate on the multi-tenant issue: Azure Search's approach to pricing is pretty steep. While there is a free tier for small applications (50MB of content or less) the first paid tier is about 14x more expensive than the first SQL Database tier that supports full-text search. For many applications, it makes a lot more economic sense to just run some LIKE or CONTAINS queries on columns in a table rather than going with Azure Search.
If you have a medium amount of data (2GB - 2.4TB), high-security concerns, and search is a key requirement in your single-tenant application then Azure Search likely has you covered. If you have a small amount of data per tenant (EG, about 2GB), have low-security concerns, and a multi-tenant application where search is a key requirement, then Azure Search would likely be a good choice - though you would need to implement your own concept of sharding and managing across potentially multiple Azure Search instances.

If you can reflect your would-be indexes in Azure Search by depositing the data in columns in a SQL table and just index it for full-text search - and that still fits your requirements - it's probably better to start with SQL Database then scale up to Azure Search when you need the advanced features like ranking or cognitive abilities.
Read Erik Ralston's full review

Azure Search Scorecard Summary

About Azure Search

Azure Search is enterprise search as a service, from Microsoft.
Categories:  Enterprise Search

Azure Search Technical Details

Operating Systems: Unspecified
Mobile Application:No