Azure AI Search vs. Kibana

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Kibana
Score 7.8 out of 10
N/A
Kibana allows users to visualize Elasticsearch data and navigate the Elastic Stack so you can do anything from tracking query load to understanding the way requests flow through your apps.N/A
Pricing
Azure AI SearchKibana
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 SearchKibana
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
Features
Azure AI SearchKibana
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Azure AI Search
-
Ratings
Kibana
9.0
5 Ratings
7% above category average
Pixel Perfect reports00 Ratings9.02 Ratings
Customizable dashboards00 Ratings9.05 Ratings
Report Formatting Templates00 Ratings9.03 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Azure AI Search
-
Ratings
Kibana
5.7
5 Ratings
33% below category average
Drill-down analysis00 Ratings7.05 Ratings
Formatting capabilities00 Ratings7.04 Ratings
Report sharing and collaboration00 Ratings3.04 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Azure AI Search
-
Ratings
Kibana
8.8
2 Ratings
4% above category average
Publish to Web00 Ratings9.52 Ratings
Publish to PDF00 Ratings8.52 Ratings
Report Versioning00 Ratings9.01 Ratings
Report Delivery Scheduling00 Ratings9.01 Ratings
Delivery to Remote Servers00 Ratings8.01 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Azure AI Search
-
Ratings
Kibana
8.8
4 Ratings
8% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.04 Ratings
Location Analytics / Geographic Visualization00 Ratings9.52 Ratings
Predictive Analytics00 Ratings10.01 Ratings
Best Alternatives
Azure AI SearchKibana
Small Businesses
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Score 8.9 out of 10
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Score 9.3 out of 10
Medium-sized Companies
Guru
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Score 9.2 out of 10
Mathematica
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Score 8.2 out of 10
Enterprises
Guru
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Score 9.2 out of 10
Sigma
Sigma
Score 9.2 out of 10
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User Ratings
Azure AI SearchKibana
Likelihood to Recommend
7.0
(3 ratings)
7.0
(5 ratings)
Support Rating
-
(0 ratings)
7.7
(2 ratings)
User Testimonials
Azure AI SearchKibana
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.
Read full review
Elastic
Kibana integrates seamlessly with Elastic Search which gives us access to parse and analyze data generated from our systems in order to make decisions. Also, Kibana helps us create insightful reports and dashboards that give us insights into the end-users usage on the system and helps us find the root cause of issues as well.
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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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Elastic
  • Fast searches with powerful index.
  • Beautiful data visualizations.
  • Real-time observability.
Read full review
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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Elastic
  • Some performance issues with large datasets.
  • Linking to dashboards makes extremely long urls.
  • Lack of reports.
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Support Rating
Microsoft
No answers on this topic
Elastic
We did not use the official Kibana support. Documentation was easy enough to follow.
Read full review
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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Elastic
Kibana has a better usability experience, the core features I was using existed in all of them. I liked more in Kibana how you can easily create dashboards, charts, and reports without the need to be a tech person.
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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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Elastic
  • Issues that affect checkout experiences for customers are able to be prioritized and solved quickly.
  • We are able to more efficiently use resources due to the automation of reporting alerts. Decreasing employee resources needed.
  • Visualization allows us to quickly share issues and explain to coworkers in order to escalate issues that can cost our bottom line.
Read full review
ScreenShots