Amazon Elasticsearch Service vs. Azure Bing Search

Elasticsearch is a good alternative to relational databases for setting up complex searching of data. It's inbuilt features for slicing the data [in] different ways and its ability to add weights to search results makes it easy to set up complex searching scenarios. Given that data must be pushed to this service, it may be best suited for data that is not changing very rapidly.

Incentivized

If your desire is to use an Azure Bing Custom Search API for a definitive solution, I recommend that you run a test instance and try it out first. Test it and you will see how easy it is to get the results you want. Take the opportunity to test how easy it is to search for your user

Incentivized

• Fast Index based search.
• Scalable.
• Best for structured and unstructured data.

• Searching
• API for custom search integration
• Recommending solutions for our products
• Search Engine Optimization (SEO) options

Incentivized

• Really satisfied with this service from Amazon.

Incentivized

• Amount of results
• Marketing (still not really used)
• Algorithms regarding safe x non-safe x work safe

Incentivized

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.

Incentivized

• Elasticsearch has allowed us to spend more time on building features and less time on optimizing search queries

Incentivized

• Increase in productivity
• Better yield in income
• Satisfied customers

Incentivized