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Amazon AWS CloudSearch vs ELK Elasticsearch comparison

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Featured Review
Find out what your peers are saying about Amazon AWS CloudSearch vs. ELK Elasticsearch and other solutions. Updated: January 2022.
564,322 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
"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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"The solution has good security features. I have been happy with the dashboards and interface.""It's a stable solution and we have not had any issues.""The flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database.""The initial installation and setup were straightforward.""I like how it allows us to connect to Kafka and get this data in a document format very easily. Elasticsearch is very fast when you do text-based searches of documents. That area is very good, and the search is very good.""I have found the sort capability of Elastic very useful for allowing us to find the information we need very quickly.""The solution is quite scalable and this is one of its advantages.""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
"The solution should improve the recovery aspects that it has on offer.""Security is a concern but they're working on it."

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"Improving machine learning capabilities would be beneficial.""I have not been using the solution for many years to know exactly the improvements needed. However, they could simplify how the YML files have to be structured properly.""It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement.""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.""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.""The reports could improve.""There are some features lacking in ELK Elasticsearch.""There is an index issue in which the data starts to crash as it increases."

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Pricing and Cost Advice
Information Not Available
  • "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."
  • "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."
  • More ELK Elasticsearch Pricing and Cost Advice →

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    Questions from the Community
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    Top Answer: 
    The most valuable features are the detection and correlation features.
    Top Answer: 
    The price of Elasticsearch is fair. It is a more expensive solution, like QRadar. The price for Elasticsearch is not much more than other solutions we have.
    Top Answer: 
    Something that could be improved is better integrations with Cortex and QRadar, for example.
    Ranking
    5th
    out of 11 in Search as a Service
    Views
    1,639
    Comparisons
    1,312
    Reviews
    2
    Average Words per Review
    328
    Rating
    8.5
    1st
    out of 11 in Search as a Service
    Views
    4,374
    Comparisons
    2,895
    Reviews
    18
    Average Words per Review
    570
    Rating
    7.9
    Comparisons
    Learn More
    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
    SmugMug
    HotelTonight, Perceivant, Docker, Green Man Gaming, Xoom, AutoScout24, TheLadders, Center for Open Science, Parleys, Tango
    Top Industries
    VISITORS READING REVIEWS
    Media Company25%
    Computer Software Company20%
    Comms Service Provider17%
    Financial Services Firm6%
    REVIEWERS
    Financial Services Firm29%
    Computer Software Company29%
    Transportation Company7%
    University7%
    VISITORS READING REVIEWS
    Computer Software Company24%
    Comms Service Provider24%
    Media Company12%
    Financial Services Firm6%
    Company Size
    No Data Available
    REVIEWERS
    Small Business42%
    Midsize Enterprise9%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    Find out what your peers are saying about Amazon AWS CloudSearch vs. ELK Elasticsearch and other solutions. Updated: January 2022.
    564,322 professionals have used our research since 2012.

    Amazon AWS CloudSearch is ranked 5th in Search as a Service with 2 reviews while ELK Elasticsearch is ranked 1st in Search as a Service with 19 reviews. Amazon AWS CloudSearch is rated 8.6, while ELK Elasticsearch is rated 8.0. The top reviewer of Amazon AWS CloudSearch writes "Good quality and pricing with the capabilities to optimize as needed". 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, Amazon Athena, Algolia, Amazon Elasticsearch Service and Azure Search, whereas ELK Elasticsearch is most compared with Amazon Athena, Azure Search, Splunk User Behavior Analytics, Loom Systems and Solr. 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.