Azure AI Search (formerly Azure Cognitive Search) is enterprise search as a service, from Microsoft.
$0.10
Per Hour
Azure Bing Search
Score 8.1 out of 10
N/A
Microsoft Azure hosts a range of Bing Search tools for enterprise applications. These include: -Bing Custom Search -Bing Autosuggest -Bing Entity Search -Bing Image Search -Bing News Search -Bing Video Search -Bing Visual Search -Bing Web 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.
Azure Bing Search is well suited for enterprises involving problem-solving activities like IT companies, manufacturing industries, etc as solving problems is the main goal of search engines. Also, education platforms can make use of this product also. This product is less appropriate for the industries that need cheap search engine products with all the services provided. They can go for other alternatives.
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.
Azure Search is a competitor against Google's own AI autosuggest a feature. We went with Azure because our network security folks found it to be more robust from a security standpoint, which is incredibly important when you have proprietary manufacturing information. Additionally, we're a Microsoft shop so it plugged into our cloud hosting package and client facing OS.
Azure Bing Custom Search is a commercial-grade solution that lets you create a highly personalized web search experience that delivers dramatically better and more relevant results. While Bing's Web Search API lets you search the entire web, Bing's Custom Search lets you select the slices of the web you want to search and control the ranking when searching within the targeted webspace.
