Compare Amazon AWS CloudSearch vs. ELK Elasticsearch

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Most Helpful Review
Use Amazon AWS CloudSearch? Share your opinion.
Find out what your peers are saying about Amazon AWS CloudSearch vs. ELK Elasticsearch and other solutions. Updated: January 2021.
455,962 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's the best solution for any company. It has a hosting ERP system for any task. AWS is stable. AWS is more flexible and its elastic concept is a new concept. AWS is also very secure. It has many layers of security, like hardware security and software security. This is a big issue.""The best feature is its scalability in that Cloud is always on the fly.""The quality of the solution is good."

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"We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company.""The most valuable feature for us is the analytics that we can configure and view using Kibana.""The special text processing features in this solution are very important for me.""The most valuable features are the data store and the X-pack extension.""I value the feature that allows me to share the dashboards to different people with different levels of access.""The product is scalable with good performance.""Dashboard is very customizable.""There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it."

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Cons
"Maybe they are common in Egypt, but you should make a request on Amazon to create a function to monitor CPU performance, memory, and files. It is very difficult in AWS. I would tell them it should be simple, just drag and drop. I think they could develop this option so we can drag and drop to monitor performance of the processor and memory.""Security is a concern but they're working on it.""The solution should improve the recovery aspects that it has on offer."

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"We see the need for some improvements with Elasticsearch. We would like the Elasticsearch package to include training lessons for our staff.""This product could be improved with additional security, and the addition of support for machine learning devices.""Better dashboards or a better configuration system would be very good.""The pricing of this product needs to be more clear because I cannot understand it when I review the website.""Ratio aggregation is not supported in this solution.""The GUI is the part of the program which has the most room for improvement.""Could have more open source tools and testing.""The solution has quite a steep learning curve. The usability and general user-friendliness could be improved. However, that is kind of typical with products that have a lot of flexibility, or a lot of capabilities. Sometimes having more choices makes things more complex. It makes it difficult to configure it, though. It's kind of a bitter pill that you have to swallow in the beginning and you really have to get through it."

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Pricing and Cost Advice
"We chose AWS because of its cost and stability."

More Amazon AWS CloudSearch Pricing and Cost Advice »

"We are using the free version and intend to upgrade.""It can be expensive.""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."

More ELK Elasticsearch Pricing and Cost Advice »

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Questions from the Community
Top Answer: The quality of the solution is good.
Top Answer: I don't have a deep knowledge of the solution and its compatibility, so I don't know if I can speak to what might be lacking. Scalability and agility could be improved slightly, even though we find… more »
Top Answer: Dashboard is very customizable.
Top Answer: I would like to see more open source tools and testing as well as a signature analysis in the solution. I think that a lot of times when we go into a corporate environment where it becomes more add on… more »
Top Answer: In terms of use case, we combine a lot of things with Elastic. It's two platforms, so with Elasticsearch, we're using the Beats, Kibana, and Suricata. It's a query engine and we use the information… more »
Ranking
3rd
out of 11 in Search as a Service
Views
1,581
Comparisons
1,260
Reviews
3
Average Words per Review
633
Rating
8.7
1st
out of 11 in Search as a Service
Views
4,039
Comparisons
2,603
Reviews
14
Average Words per Review
601
Rating
8.1
Popular Comparisons
Compared 16% of the time.
Compared 41% of the time.
Compared 32% of the time.
Compared 5% of the time.
Compared 4% of the time.
Learn
Amazon
Elastic
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.

Elasticsearch is a distributed, JSON-based search and analytics engine designed for horizontal scalability, maximum reliability, and easy management. Elasticsearch lets you perform and combine many types of searches — structured, unstructured, geo, metric — any way you want.
Offer
Learn more about Amazon AWS CloudSearch
Learn more about ELK Elasticsearch
Sample Customers
SmugMugHotelTonight, Perceivant, Docker, Green Man Gaming, Xoom, AutoScout24, TheLadders, Center for Open Science, Parleys, Tango
Top Industries
VISITORS READING REVIEWS
Media Company38%
Computer Software Company17%
Comms Service Provider10%
Government5%
REVIEWERS
Financial Services Firm43%
Transportation Company14%
University14%
Government14%
VISITORS READING REVIEWS
Computer Software Company22%
Comms Service Provider18%
Media Company15%
Financial Services Firm6%
Company Size
No Data Available
REVIEWERS
Small Business50%
Midsize Enterprise14%
Large Enterprise36%
Find out what your peers are saying about Amazon AWS CloudSearch vs. ELK Elasticsearch and other solutions. Updated: January 2021.
455,962 professionals have used our research since 2012.

Amazon AWS CloudSearch is ranked 3rd in Search as a Service with 3 reviews while ELK Elasticsearch is ranked 1st in Search as a Service with 15 reviews. Amazon AWS CloudSearch is rated 8.6, while ELK Elasticsearch is rated 8.0. The top reviewer of Amazon AWS CloudSearch writes "Has worldwide stability and many layers of security, like hardware security and software security". On the other hand, the top reviewer of ELK Elasticsearch writes "Good processing power, very scalable, and able to handle all data formats". Amazon AWS CloudSearch is most compared with Amazon Kendra, Algolia, Amazon Athena, Amazon Elasticsearch Service and Azure Search, whereas ELK Elasticsearch is most compared with Amazon Athena, Azure Search, Splunk User Behavior Analytics, Algolia and Loom Systems. See our Amazon AWS CloudSearch vs. ELK Elasticsearch 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.