Compare Amazon AWS CloudSearch vs. Amazon Elasticsearch Service

Amazon AWS CloudSearch is ranked 4th in Search as a Service with 2 reviews while Amazon Elasticsearch Service is ranked 5th in Search as a Service with 1 review. Amazon AWS CloudSearch is rated 8.6, while Amazon Elasticsearch Service is rated 9.0. The top reviewer of Amazon AWS CloudSearch writes "CDN service reduces latency when accessing our web application". On the other hand, 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. ". Amazon AWS CloudSearch is most compared with Algolia, Amazon Elasticsearch Service and Solr, whereas Amazon Elasticsearch Service is most compared with Amazon AWS CloudSearch and Algolia.
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Most Helpful Review
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Find out what your peers are saying about Elastic, Microsoft, Lucene and others in Search as a Service. Updated: October 2019.
378,124 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
CDN service reduces latency when accessing our web application.Document indexing, text-based search API, and Geospatial searches are all good features.

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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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Cons
Regarding the period of propagation on CDN servers, sometimes we update photos or files and we don't see the update instantly. We need to wait for sometime.Latlon data type only supports single value per document. All other types support multiple values. We faced issues with this because we had scenarios where, for each document, we needed to store multiple latlon values for different geographical locations.Index cleanup is sometimes painful. No easy way to clean indexes or a bulk of documents. Full indexing or regeneration of entire indexes sometimes gets stuck. In one instance, we had to delete the entire index and re-create it.

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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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Pricing and Cost Advice
Information Not Available
You only pay for what you use.

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Ranking
4th
out of 10 in Search as a Service
Views
1,288
Comparisons
1,025
Reviews
2
Average Words per Review
274
Avg. Rating
8.5
5th
out of 10 in Search as a Service
Views
342
Comparisons
169
Reviews
1
Average Words per Review
466
Avg. Rating
9.0
Top Comparisons
Compared 24% of the time.
Compared 20% of the time.
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Amazon
Amazon
Overview

Amazon CloudSearch is a managed service in the AWS Cloud that makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application.
Amazon CloudSearch supports 34 languages and popular search features such as highlighting, autocomplete, and geospatial search. With Amazon CloudSearch, you can quickly add rich search capabilities to your website or application. You don't need to become a search expert or worry about hardware provisioning, setup, and maintenance. With a few clicks in the AWS Management Console, you can create a search domain and upload the data that you want to make searchable, and Amazon CloudSearch will automatically provision the required resources and deploy a highly tuned search index.

You can easily change your search parameters, fine tune search relevance, and apply new settings at any time. As your volume of data and traffic fluctuates, Amazon CloudSearch seamlessly scales to meet your needs.

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

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Sample Customers
SmugMugVIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
Find out what your peers are saying about Elastic, Microsoft, Lucene and others in Search as a Service. Updated: October 2019.
378,124 professionals have used our research since 2012.
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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