Amazon Elasticsearch Service vs. Azure Search

Amazon Elasticsearch Service is ranked 7th in Search as a Service with 1 review vs Azure Search which is ranked 2nd in Search as a Service with 2 reviews. The top reviewer of Amazon Elasticsearch Service writes "The initial set up is very easy. It gives us the charges according to the use cases. ". The top reviewer of Azure Search writes "Offers a tremendous amount of flexibility and scalability when integrating with applications". Amazon Elasticsearch Service is most compared with Algolia and Amazon AWS CloudSearch. Azure Search is most compared with ELK Elasticsearch, Solr and Amazon AWS CloudSearch.
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Quotes From Members Comparing Amazon Elasticsearch Service vs. Azure Search

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros
The stability of the product is good.The initial set up is very easy...We really appreciate Amazon!They have the good documentation in the help text and that is the reason the Amazon is the perfect solution in the current market.

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Offers a tremendous amount of flexibility and scalability when integrating with applications.The product is extremely configurable, allowing you to customize the search experience to suit your needs.Because all communication is done via the REST API, data is retrieved quickly in JSON format to reduce overhead and latency.​The search functionality time has been reduced to a few milliseconds.Creates indexers to get data from different data sources.

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Cons
There is a problem with the database. Amazon only provides the hosting to run our applications bias, but there is no option to manage the database within the Elasticsearch product.

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For SDKs, Azure Search currently offers solutions for .NET and Python. Additional platforms would be welcomed, especially native iOS and Android solutions for mobile development.For availability, expanding its use to all Azure datacenters would be helpful in increasing awareness and usage of the product.​Adding items to Azure Search using its .NET APIs sometimes throws exceptions.

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Pricing and Cost Advice
You only pay for what you use.

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​When telling people about the product, I always encourage them to set up a new service using the free pricing tier. This allows them to learn about the product and its capabilities in a risk-free environment. Depending on their needs, the free tier may be suitable for their projects, however enterprise applications will most likely required a higher, paid tier.For the actual costs, I encourage users to view the pricing page on the Azure site for details.​

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Ranking
Views
44
Comparisons
33
Reviews
1
Followers
3
Avg. Rating
9.0
Views
2,723
Comparisons
1,820
Reviews
2
Followers
13
Avg. Rating
9.0
Unranked
In Search as a Service
Top Comparisons
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Compared 54% of the time.
Compared 22% of the time.
See more Azure Search competitors »
Compared 29% of the time.
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Overview

Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS Cloud.

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.
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Sample Customers
VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, UnbabelXOMNI, Real Madrid C.F., Weichert Realtors, JLL, NAV CANADA, Medihoo, autoTrader Corporation, Gjirafa
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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.

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