Amazon CloudSearch vs. Azure AI Search

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon CloudSearch
Score 7.9 out of 10
N/A
Amazon CloudSearch is enterprise search as a service, from Amazon Web Services.N/A
Azure Cognitive Search
Score 7.9 out of 10
N/A
Azure AI Search (formerly Azure Cognitive Search) is enterprise search as a service, from Microsoft.
$0.10
Per Hour
Pricing
Amazon CloudSearchAzure AI Search
Editions & Modules
No answers on this topic
Basic
$0.101
Per Hour
Standard S1
$0.336
Per Hour
Standard S2
$1.344
Per Hour
Standard S3
$2.688
Per Hour
Offerings
Pricing Offerings
Amazon CloudSearchAzure Cognitive Search
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Amazon CloudSearchAzure AI Search
Considered Both Products
Amazon CloudSearch

No answer on this topic

Azure Cognitive Search
Chose Azure AI Search
As I've mentioned, the biggest competitor to Azure Search is actually Azure SQL Database. It doesn't have as many features, but it's more economical and most .Net applications will have one already. As long as you can arrive at a schema and ranking strategy, it's a "good …
Top Pros
Top Cons
Best Alternatives
Amazon CloudSearchAzure AI Search
Small Businesses
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Score 8.8 out of 10
Medium-sized Companies
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Score 9.0 out of 10
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Score 9.0 out of 10
Enterprises
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User Ratings
Amazon CloudSearchAzure AI Search
Likelihood to Recommend
6.0
(2 ratings)
8.2
(2 ratings)
User Testimonials
Amazon CloudSearchAzure AI Search
Likelihood to Recommend
Amazon AWS
I would like to mentioned about the scenario where Amazon cloud search was well suited is when we need regular updation of data and the subject matter requires continuous alterations due to the continuous changing environment and talking abut the least appropriate would the times when their is high level of customisation requirements in the project.
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Microsoft
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.
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Pros
Amazon AWS
  • Really fast queries
  • Good Reporting
  • Reduce the cost of the server
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Microsoft
  • 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.
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Cons
Amazon AWS
  • First thing I would like to mentioned about its indexing speed, I have noticed while working with large sums of data
  • Second I would like to mentioned about customisation challenge, although it is also its pros but a con as well, as it is a tedious task to customise when time value comes place as well.
  • Thirdly, I do feel that its advanced search queries could be more supported. I have seen some level of lagging when it comes to more advanced search queries given the size of data.
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Microsoft
  • 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.
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Alternatives Considered
Amazon AWS
I didn't investigate the best alternatives to CloudSearch, but did help with implementing this feature in our application. But from what i tested and used - Cloudsearch is very fast to get queries. Some negative points can be the time to implement this and some configurations that can be tricky.
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Microsoft
As I've mentioned, the biggest competitor to Azure Search is actually Azure SQL Database. It doesn't have as many features, but it's more economical and most .Net applications will have one already. As long as you can arrive at a schema and ranking strategy, it's a "good enough" solution. There are a variety of search technologies (Lucene, Solr, Elasticsearch) that implement a search service. Some of them are even open source, though I would only say "free" if you do not value your time. They most likely need to be hosted via Container (or VM if you're old school), so you're incurring DevOps costs to not only set them up but monitor and maintain them yourself.
If you're already on AWS, there is almost no reason to use Azure Search. Unless you're already multi-cloud, desperately need the cognitive abilities, and don't mind a potential performance hit from looking across datacenters (hey, it could happen), you should probably just use Amazon CloudSearch.
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Return on Investment
Amazon AWS
  • It has directly or indirectly improved the operational effiecncy for sure.
  • Its limitations towards limited customisation requirements makes it a bit negative side of the scenario.
  • Its scalability of the growth offers seamless accommodation of large data sets which is a positive impact although.
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Microsoft
  • 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.
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