Amazon OpenSearch Service vs Elastic Security comparison

Amazon Web Services (AWS) and Elastic are both solutions in the Log Management category. Amazon Web Services (AWS) is ranked #18 with an average rating of 7.3, while Elastic is ranked #12 with an average rating of 8.4. Amazon Web Services (AWS) holds a 1.7% mindshare in Log Management, compared to Elastic’s 3.2% mindshare. Additionally, 92% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 86% of Elastic users who would recommend it.

Amazon OpenSearch Service

Read 13 Amazon OpenSearch Service reviews

7,043 Views
3,944 Comparison Views

92% willing to recommend

Elastic Security

Read 66 Elastic Security reviews

15,071 Views
6,782 Comparison Views

86% willing to recommend

Amazon OpenSearch Service

Elastic Security

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Executive SummaryUpdated on Feb 22, 2026

Elastic Security and Amazon OpenSearch Service are key players in log management and analysis. Elastic Security seems to have the upper hand with its cost-effectiveness and open-source adaptability, while Amazon OpenSearch Service excels in integration with AWS.

Features: Elastic Security provides comprehensive open-source capabilities, rapid data indexing, scalability, and machine learning for enhanced threat detection. It integrates easily with other solutions and offers robust Elasticsearch Indexing and Kibana's visualization tools. Amazon OpenSearch Service is known for its advanced search capabilities, seamless AWS integration, and managed services, offering reliable delivery of fast search results and support for various add-ons.

Room for Improvement: Elastic Security could improve in authentication, reporting, and the integration with external systems. Users suggest enhancements in the user interface and technical support. Amazon OpenSearch Service users highlight the need for better pricing structure and data handling simplicity. More customization options and improved support for large data environments are also desired.

Ease of Deployment and Customer Service: Elastic Security offers flexible deployment options for on-premises, hybrid, and private cloud environments, supported by a strong community. However, technical assistance can be inconsistent. Amazon OpenSearch Service supports public cloud deployment with seamless AWS integration. Although favored for its managed services, it may lack in customization support within a managed framework, affecting direct customer service.

Pricing and ROI: Elastic Security is valued for its cost-effectiveness, leveraging robust features without significant financial burden. Its open-source nature keeps pricing competitive. Amazon OpenSearch Service reflects its managed service nature in higher costs, which many users find justified due to reduced manual infrastructure management and ease of integration within AWS.

To learn more, read our detailed Amazon OpenSearch Service vs. Elastic Security Report (Updated: April 2026).

Buyer's Guide

Amazon OpenSearch Service vs. Elastic Security

April 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon OpenSearch Service

Ranking in Log Management

18th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (22nd), Search as a Service (3rd)

Elastic Security

Ranking in Log Management

12th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (8th), Endpoint Detection and Response (EDR) (20th), Security Orchestration Automation and Response (SOAR) (10th), Extended Detection and Response (XDR) (12th)

Mindshare comparison

As of May 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 1.7%, down from 2.5% compared to the previous year. The mindshare of Elastic Security is 3.2%, down from 3.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
Elastic Security	3.2%
Amazon OpenSearch Service	1.7%
Other	95.1%

Log Management

Featured Reviews

Md. Shahariar Hossen

Senior Software Engineer at Cefalo

Event tracking has become smoother and data analytics provide clear insights for user actions

Amazon OpenSearch Service is not providing the processing feature directly. From Amazon OpenSearch Service, we are actually maintaining the AWS SQS, the queue service, which is responsible for providing information about what data has to be modified. So using that SQS, we're actually providing it, but we're not directly using Amazon OpenSearch Service for keeping data to other data pipeline thing. So far we didn't use it for any machine learning purposes, but in future, we have plans to extend or implement this feature. Since AWS itself is secure and Amazon OpenSearch Service is a part of this entire ecosystem, it becomes much easier for security purposes. From the validation point of view, Amazon OpenSearch Service itself provides easy to communicate APIs and up-to-date documents, which is much beneficial. For example, if I'm missing anything, I can directly go and check the documentation. That is actually much easier. I would rate it as really good so far. It's much faster. For our local machine, we can also use a kind of replica of Amazon OpenSearch Service just for development purposes. That is another good feature. I would say for the encryption thing and also the user access control management, it's much faster. For some of these hashing algorithms, it also worked really well so far. To be honest, I didn't find any places where it can be improved. However, I think they could provide more abstraction. For example, still for searching, we have to write down the queries in a specific manner, such as for a specific JSON structure or in a specific way. Otherwise, they don't provide us the actual results. For at least this purpose, I think abstraction could be a bit easier or a bit improved. Other than that, right now there is the age of AI, so some kind of prompting could also work, but I'm not sure how it could be integrated. As a user, lower prices or reasonable pricing is always better. Those can be improved as well. However, it is good that most of the services including Amazon OpenSearch Service actually provide pay as you go pricing. So if there were a bit lower version or a bit less payment methodology, it might be much better.

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Laurentiu Popescu

Chief Product Officer at ClusterPower

Has improved threat detection with deep log analysis and streamlined investigation workflows

The most useful features I find in Elastic Security are the forensic ones that allow us to carry deeper analysis into the logs for in-depth investigations, and the dashboards, with the reporting dashboard being quite user-friendly. Elastic Security is quite good at identifying threats, as it is part of the deep investigation tool that I mentioned before. Unless we need to look further into a certain log, we can carry out a deeper analysis and forensics on those particular logs. I can assess the impact of Elastic Security's real-time data analysis on our threat response efficiency as working pretty good. We are looking for real-time analysis because we have a continuous inflow of logs from different sources: from our cloud, from Active Directory, from our network. So it works pretty well.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Our customers have seen tangible benefits from Amazon OpenSearch Service, especially in terms of their applications running smoothly, so they do get a return on investment."

"The business analytics capabilities are the most important feature it provides."

"It's a good log management platform. In terms of infrastructure management, it's good."

"The initial set up is very easy...We really appreciate Amazon!"

"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."

"Regarding valuable features of the solution, we found with the process, which we have used in both cases where we used the solution that while you're seeing the streaming of data, you can analyze in the initial phase what sort of data you are streaming and whether it is valuable."

"We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage"

"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."

More Amazon OpenSearch Service pros

"We like the detailed investigation features of the platform as you're able to get a lot of detail as to what's going on on the host when you do investigations."

"Elastic Security is cost-effective compared to Defender and CrowdStrike."

"My advice to anybody who is considering this product is that it is a very competitive tool that is very new in the market and the vendor is doing their best to improve services."

"I would advise others to use this solution as it is relatively low cost and the implementation is quick, giving you results faster."

"Its flexibility is most valuable; we can have a number of scenarios, and we can get logs from anything, and if we know how to use Logstash, we can tweak it in many ways, which makes the logging search on Elastic very easy."

"This is one of the best open-source log management and log analyzer tools in the world."

"The most valuable feature is the ability to collect authentication information from service providers."

"I use the stack every morning to check the errors and it's just so clear. I don't see any disadvantage to using Logstash."

More Elastic Security pros

Cons

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

"The configuration should be more straightforward because we had to select a lot of things."

"As a user, lower prices or reasonable pricing is always better."

"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."

"The configuration should be more straightforward because we had to select a lot of things."

"In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle the data."

"It would be beneficial to have some level of customization available in the managed service, tailored to the specific use cases of the end users."

"Amazon Elasticsearch can improve the bullion in the near search and the ease of integration with Kibana. Additionally, there could be more flexibility in the configuration and documentation."

More Amazon OpenSearch Service cons

"It's a little bit of a learning curve to understand the logic of searching for things and trying to find what you're looking for in Elastic Security."

"There are connectors to gather logs for Windows PCs and Linux PCs, but if we have to get the logs from Syslog then we have to do it manually, and this should be automated."

"The training that is offered for Elastic is in need of improvement because there is no depth to it."

"The process of designing dashboards is a little cumbersome in Kibana. Unless you are an expert, you will not be able to use it. The process should be pretty straightforward. The authentication feature is what we are looking for. We would love to have a central authentication system in the open-source edition without the need for a license or an enterprise license. If they can give at least a simple authentication system within a company. In a large organization, authentication is very essential for security because logs can contain a lot of confidential data. Therefore, an authentication feature for who accesses it should be there."

"Elastic sometimes does not correctly identify threats or anomalies. It might not classify an issue as malicious or critical accurately."

"It is difficult to anticipate and understand the space utilization, so more clarity there would be great."

"Elastic doesn't have the features like other competitors in SIEM. For example, Dynatrace as a solution for SIEM has features that Elastic actually doesn't have."

"Because of the notification issue we moved to Logentries, as it provides a simple way to get notification whenever a server encounters an error or something unexpected happens (which we have defined using Regex)."

More Elastic Security cons

Pricing and Cost Advice

"There is a community edition available and the price of the commercial offering is reasonable."

"Compared to other cloud platforms, it is manageable and not very expensive."

"You only pay for what you use."

"The solution is not expensive, but priced averagely, I will say."

"Its price is fine. Its licensing works on a yearly basis. We have to renew the license every year. I also have a good experience with Darktrace. When we buy Darktrace, we get training free of cost, which is not there in Elastic. We have to pay extra for training. There is certainly room for improvement."

"Elastic Security is free to use."

"The pricing is in the middle. I think it is not an expensive experience if we compare it with big names, for example, QRadar, and also Oxide. I think Elastic Security is quite cheap. I would rate the pricing of this solution a five out of ten."

"The base product is open-source but if you need advanced security features then you need to pay for the subscription. Elastic Security's price is reasonable in some cases and in other cases it's not."

"The tool's pricing is flexible and comes at unit cost. You don't have to pay for everything."

"I find it better than Splunk in terms of cost-effectiveness. For cost-effectiveness, I would rate it a nine out of 10."

"Elastic Stack is an open-source tool. You don't have to pay anything for the components."

"We are using the free, open-source version of this solution."

More Elastic Security pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Manufacturing Company

10%

Computer Software Company

10%

Government

Comms Service Provider

Computer Software Company

Government

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	2
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	40
Midsize Enterprise	11
Large Enterprise	15

Questions from the Community

What do you like most about Amazon OpenSearch Service?

We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage

See all answers

What is your experience regarding pricing and costs for Amazon OpenSearch Service?

I would consider the pricing as a six based on how much data we are handling; if we handle minimal data, it's cheap, but for large data, it becomes costly. Our clients usually pay between $1,000 to...

See all answers

What needs improvement with Amazon OpenSearch Service?

See all answers

Datadog vs ELK: which one is good in terms of performance, cost and efficiency?

With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...

See all answers

What do you like most about Elastic Security?

Elastic provides the capability to index quickly due to the reverse indexes it offers. This data is crucial as it contains critical information. The reverse index allows fast data indexing because ...

See all answers

What is your experience regarding pricing and costs for Elastic Security?

I am satisfied with the pricing, setup cost, and licensing cost. It is a pure 10.

See all answers

Comparisons

Grafana Loki vs Amazon OpenSearch Service

Compared 9% of the time

Xapien vs Amazon OpenSearch Service

Compared 6% of the time

Datadog vs Amazon OpenSearch Service

Compared 5% of the time

Amazon CloudWatch vs Amazon OpenSearch Service

Compared 5% of the time

Azure AI Search vs Amazon OpenSearch Service

Compared 4% of the time

More Amazon OpenSearch Service Competitors

Wazuh vs Elastic Security

Compared 6% of the time

Splunk Enterprise Security vs Elastic Security

Compared 5% of the time

IBM Security QRadar vs Elastic Security

Compared 5% of the time

CrowdStrike Falcon vs Elastic Security

Compared 4% of the time

Microsoft Sentinel vs Elastic Security

Compared 3% of the time

More Elastic Security Competitors

Product Reports

Buyer's Guide

Amazon OpenSearch Service

May 2026

Download Amazon OpenSearch Service product report

Buyer's Guide

Elastic Security

May 2026

Download Elastic Security product report

Also Known As

Amazon Elasticsearch Service

Elastic SIEM, ELK Logstash

Overview

Amazon OpenSearch Service provides scalable and reliable search capabilities with efficient data processing, supporting easy domain configuration and integration with numerous systems for enhanced performance.

Amazon OpenSearch Service offers advanced features for handling JSON, diverse search grammars, quick historical data retrieval, and ultra-warm storage. It also includes customizable dashboards and seamless tool integration for large enterprises. With its managed infrastructure, OpenSearch Service supports efficient system analysis and business analytics, improving overall performance and flexibility. Despite these features, areas like configuration complexity, lack of auto-scaling, and integration with Kibana require attention. Users seek enhanced documentation, better pricing options, and more flexible data handling. Desired improvements include default filters, mapping configuration, and alerting capabilities. Enhanced data visualization and Compute Optimizer Service integration are also recommended for future updates.

What features define Amazon OpenSearch Service?

Scalable Search: Offers reliable search capabilities across vast datasets.
JSON Handling: Supports efficient management of JSON data.
Ultra-warm Storage: Enables cost-effective historical data retrieval.
Dashboard Customization: Supports tool integration and tailored visuals.
System Upgrades: Allows for seamless infrastructure upgrades.

What benefits and ROI should users consider?

Performance Enhancement: Significant improvement in search and data retrieval.
Cost-Effectiveness: Provides a cloud-native solution optimized for AWS environments.
Comprehensive Analytics: Delivers detailed insights for business applications.

Amazon OpenSearch Service is utilized in various industries for log management, data storage, and search capabilities. It supports infrastructure and embedded management, analyzing logs from AWS Lambda, Kubernetes, and other services. Companies use it for application debugging, monitoring security and performance, and customer behavior analysis, integrating it with tools like DynamoDB and Snowflake for a cost-effective solution.

Amazon Web Services (AWS)

Elastic Security stands out for its speed, scalability, and intuitive interface. It integrates seamlessly with Elasticsearch and Kibana, providing efficient data indexing, centralized log management, and intelligent threat identification, all while being open-source.

Elastic Security offers robust capabilities in security monitoring, threat identification, and SIEM functionalities. Its open-source nature enhances scalability, facilitating log aggregation and infrastructure monitoring. Users appreciate the intuitive dashboards and machine learning integration, which aid in proactive security measures and anomaly detection. Despite its strengths, improvements are needed in documentation, scalability, and configuration complexity. High data volume pricing and limited machine learning support are concerns, while dashboard enhancement and seamless integration with existing systems are desirable. The platform is widely used for alerting suspicious activities, analyzing logs from firewalls and Active Directory, and providing endpoint protection. It serves as a key tool for security awareness and auditing, integrating effectively with technologies like Kibana and OpenShift.

What are the most notable features of Elastic Security?

Speed and Scalability: Quickly processes large volumes of data with ease.
Intuitive Interface: Provides a user-friendly experience for efficient navigation and management.
Centralized Log Management: Consolidates logs for easier monitoring and analysis.
Threat Identification: Intelligent features help detect and alert potential threats.
Machine Learning Integration: Applies advanced analytics to identify anomalies.

What benefits or ROI should be considered in reviews?

Affordability: Offers cost-effective security solutions.
Flexibility: Adapts to diverse IT environments and security needs.
Forensic Capabilities: Enables detailed security analysis and incident response.
Community Support: Leverages a broad community for shared insights and assistance.

Organizations deploy Elastic Security across industries for log aggregation and security monitoring, detecting unauthorized access, and analyzing system logs. It is essential for infrastructure monitoring and integrates effectively with systems such as Fluentd and OpenShift, supporting comprehensive security views across enterprise environments.

Elastic

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel

Texas A&M, U.S. Air Force, NuScale Power, Martin's Point Health Care

Buyer's Guide

Amazon OpenSearch Service vs. Elastic Security

April 2026

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