Azure AI Search vs. OpenSearch

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Cognitive Search
Score 7.7 out of 10
N/A
Azure AI Search (formerly Azure Cognitive Search) is enterprise search as a service, from Microsoft.
$0.10
Per Hour
OpenSearch
Score 8.6 out of 10
N/A
OpenSearch is an open-source software suite for search, analytics, and observability applications licensed under Apache 2.0. Powered by Apache Lucene and driven by the OpenSearch Project community, OpenSearch offers a vendor-agnostic toolset that can be used to build applications, or as an end-to-end solution, or connected with preferred open-source tools or partner projects.N/A
Pricing
Azure AI SearchOpenSearch
Editions & Modules
Basic
$0.101
Per Hour
Standard S1
$0.336
Per Hour
Standard S2
$1.344
Per Hour
Standard S3
$2.688
Per Hour
No answers on this topic
Offerings
Pricing Offerings
Azure Cognitive SearchOpenSearch
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
Azure AI SearchOpenSearch
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Best Alternatives
Azure AI SearchOpenSearch
Small Businesses
Algolia
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Score 8.9 out of 10
Medium-sized Companies
Guru
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Score 9.0 out of 10
Guru
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Score 9.0 out of 10
Enterprises
Guru
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Score 9.0 out of 10
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User Ratings
Azure AI SearchOpenSearch
Likelihood to Recommend
7.0
(3 ratings)
8.0
(1 ratings)
User Testimonials
Azure AI SearchOpenSearch
Likelihood to Recommend
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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Open Source
OpenSearch Service presents a cost-effective pricing model, allowing users to pay solely for their usage without being burdened by minimum fees or upfront commitments. Its seamless integration with various AWS services enhances its adaptability for a wide range of data analysis requirements and also I love using it isn't it enough.
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Pros
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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Open Source
  • Gives us millisecond response times
  • Mainly open-source
  • Integration Seamlessly with AWS
  • Has a very big community so problems are fixes sooner then later
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Cons
Microsoft
  • Cross platform compatibility to integrate with various OS
  • Optimizing latency.
  • Nothing better than work on price, create more flexible options.
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Open Source
  • Needs more descriptive documentation
  • The UI feels a bit old
  • Some functionality still doesn't work correctly
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Alternatives Considered
Microsoft
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.
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Open Source
Well as I said, Elastic is behind paywall now and managing OpenSearch through AWS is so seamless that we just love it. It gets updates faster we don't have to manage separate infra and many other settings to work with elastic search and some of the tools that it provides are better then them.
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Return on Investment
Microsoft
  • 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.
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Open Source
  • Well we had 200 ms response times which decreased to 100ms while using OpenSearch
  • Easy to use security plugins we dont need external IAM
  • Super Easy Integration with many AWS Services such as kinsesi data stream and dynamoDB
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ScreenShots