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Azure Search vs Elastic Enterprise Search comparison

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Featured Review
Buyer's Guide
Azure Search vs. Elastic Enterprise Search
July 2022
Find out what your peers are saying about Azure Search vs. Elastic Enterprise Search and other solutions. Updated: July 2022.
620,987 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It provides good access capabilities to various platforms.""The amount of flexibility and agility is really assuring."

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"The search speed is most valuable and important.""You have dashboards, it is visual, there are maps, you can create canvases. It's more visual than anything that I've ever used.""The solution is quite scalable and this is one of its advantages.""It's a stable solution and we have not had any issues.""The UI is very nice, and performance wise it's quite good too.""The solution has good security features. I have been happy with the dashboards and interface.""The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs.""I have found the sort capability of Elastic very useful for allowing us to find the information we need very quickly."

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Cons
"They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement.""The initial setup is not as easy as it should be."

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"The price could be better. Kibana has some limitations in terms of the tablet to view event logs. I also have a high volume of data. On the initialization part, if you chose Kibana, you'll have some limitations. Kibana was primarily proposed as a log data reviewer to build applications to the viewer log data using Kibana. Then it became a virtualization tool, but it still has limitations from a developer's point of view.""Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI.""I would like to be able to do correlations between multiple indexes.""Improving machine learning capabilities would be beneficial.""There is an index issue in which the data starts to crash as it increases.""The different applications need to be individually deployed.""It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement.""It is hard to learn and understand because it is a very big platform. This is the main reason why we still have nothing in production. We have to learn some things before we get there."

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Pricing and Cost Advice
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  • "This product is open-source and can be used free of charge."
  • "We are using the open-sourced version."
  • "The basic license is free, but it comes with a lot of features that aren't free. With a gold license, we get active directory integration. With a platinum license, we get alerting."
  • "The pricing model is questionable and needs to be addressed because when you would like to have the security they charge per machine."
  • "We are using the Community Edition because Elasticsearch's licensing model is not flexible or suitable for us. They ask for an annual subscription. We also got the development consultancy from Elasticsearch for 60 days or something like that, but they were just trying to do the same trick. That's why we didn't purchase it. We are just using the Community Edition."
  • "We are using the free open-sourced version of this solution."
  • "The price could be better."
  • "Although the ELK Elasticsearch software is open-source, we buy the hardware."
  • More Elastic Enterprise Search Pricing and Cost Advice →

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    620,987 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:The amount of flexibility and agility is really assuring.
    Top Answer:They should add an API for third-party vendors, like a security operating center or reporting system, that would be a big improvement.
    Top Answer:We use Azure Search for security-related issues. We are trying to figure out everything that's related to security events occurring in the Cloud. We are a small company, less than 10 people. About… more »
    Top Answer:The most valuable feature of Elastic Enterprise Search is the Discovery option for the visualization of logs on a GPU instead of on the server.
    Top Answer:The version of Elastic Enterprise Search I am using is open source which is free. The pricing model should improve for the enterprise version because it is very expensive.
    Top Answer:Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI.
    Ranking
    5th
    out of 12 in Search as a Service
    Views
    2,054
    Comparisons
    1,757
    Reviews
    2
    Average Words per Review
    404
    Rating
    7.0
    1st
    out of 12 in Search as a Service
    Views
    5,107
    Comparisons
    3,205
    Reviews
    20
    Average Words per Review
    497
    Rating
    8.2
    Comparisons
    Learn More
    Overview
    Azure Search is a search-as-a-service cloud solution that gives developers APIs and tools for adding a rich search experience over your data in web, mobile, and enterprise applications. Functionality is exposed through a simple REST API or .NET SDK that masks the inherent complexity of search technology. In addition to APIs, the Azure portal provides administration and prototyping support. Infrastructure and availability are managed by Microsoft.

    Elastic Enterprise Search (Previously known as Swiftype) is Elasticsearch, with a complete set of specialized tools and extensible APIs that make it easy to build search solutions and give users the best answers, every time. Monitor performance with robust analytics, tweak relevance in real-time, and scale it all seamlessly.

    Offer
    Learn more about Azure Search
    Learn more about Elastic Enterprise Search
    Sample Customers
    XOMNI, Real Madrid C.F., Weichert Realtors, JLL, NAV CANADA, Medihoo, autoTrader Corporation, Gjirafa
    HotelTonight, Perceivant, Docker, Green Man Gaming, Xoom, AutoScout24, TheLadders, Center for Open Science, Parleys, Tango
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company21%
    Comms Service Provider19%
    Financial Services Firm6%
    Media Company5%
    REVIEWERS
    Financial Services Firm31%
    Computer Software Company25%
    Manufacturing Company13%
    Transportation Company6%
    VISITORS READING REVIEWS
    Computer Software Company24%
    Comms Service Provider21%
    Media Company9%
    Financial Services Firm8%
    Company Size
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise14%
    Large Enterprise67%
    REVIEWERS
    Small Business41%
    Midsize Enterprise8%
    Large Enterprise51%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise68%
    Buyer's Guide
    Azure Search vs. Elastic Enterprise Search
    July 2022
    Find out what your peers are saying about Azure Search vs. Elastic Enterprise Search and other solutions. Updated: July 2022.
    620,987 professionals have used our research since 2012.

    Azure Search is ranked 5th in Search as a Service with 2 reviews while Elastic Enterprise Search is ranked 1st in Search as a Service with 19 reviews. Azure Search is rated 7.0, while Elastic Enterprise Search is rated 8.2. The top reviewer of Azure Search writes "Access capabilities provide opportunities for dealing with various platforms". On the other hand, the top reviewer of Elastic Enterprise Search writes "The go-to stack for machine- and sensor-generated data use cases. Easy to deploy and maintain. Elastic's ELK Elasticsearch, unlike AWS Elasticsearch, comes with batteries included". Azure Search is most compared with Amazon Kendra, Amazon AWS CloudSearch, Solr, Amazon Athena and Algolia, whereas Elastic Enterprise Search is most compared with Amazon Athena, Splunk User Behavior Analytics, Amazon Kendra, Amazon AWS CloudSearch and Solr. See our Azure Search vs. Elastic Enterprise Search report.

    See our list of best Search as a Service vendors.

    We monitor all Search as a Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.