Access Innovations vs. Azure AI Search

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Access Innovations
Score 10.0 out of 10
N/A
Access Innovations provides platforms for search improved experiences. identifying concepts, recommending terms, and automatically enriching metadata.N/A
Azure AI Search
Score 8.7 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
Access InnovationsAzure 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
Access InnovationsAzure AI Search
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsContact vendor for pricing information.
More Pricing Information
Community Pulse
Access InnovationsAzure AI Search
Best Alternatives
Access InnovationsAzure AI Search
Small Businesses
Yext
Yext
Score 8.9 out of 10
Yext
Yext
Score 8.9 out of 10
Medium-sized Companies
Guru
Guru
Score 9.5 out of 10
Guru
Guru
Score 9.5 out of 10
Enterprises
Guru
Guru
Score 9.5 out of 10
Guru
Guru
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Access InnovationsAzure AI Search
Likelihood to Recommend
-
(0 ratings)
7.0
(3 ratings)
User Testimonials
Access InnovationsAzure AI Search
Likelihood to Recommend
Access Innovations
No answers on this topic
Microsoft
It's very useful when used with large file systems, once the models index the files good enough, the suggestions are very impressive and produce grounded answers. Since it can natively work with blob storage the requirement for pre-processing the data is eliminated i.e. the data can be searched in its raw form, this makes Azure AI Search a very powerful tool when used with Azure Stack.
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Pros
Access Innovations
No answers on this topic
Microsoft
  • 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.
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Cons
Access Innovations
No answers on this topic
Microsoft
  • 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.
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Usability
Access Innovations
No answers on this topic
Microsoft
I want to improve their product and also want to learn Azure AI Search like a professional and use it with full feature but their price is too high, so now I use the free plan as of now, but it takes a very large amount of data, type is few minutes, and give result that I want.
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Alternatives Considered
Access Innovations
No answers on this topic
Microsoft
Product enhancement and recent updates, Azure AI Search has become more cost-effective, especially for large-scale generative AI applications2.
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Return on Investment
Access Innovations
No answers on this topic
Microsoft
  • When integrated with our existing file system the Azure AI Search helped users tremendously by reducing search times and improve efficacy of intended result.
  • Since Azure AI Search is a PaaS solution, we had very short ideation to go-live timespan, which ended up reflecting in our product performance.
  • A rare but not negligible occurrence was correctness of search being questionable when new data was added to the system. The search returns false positive results.
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