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 #19 with an average rating of 7.3, while Elastic is ranked #9 with an average rating of 8.5. Amazon Web Services (AWS) holds a 2.2% mindshare in Log Management, compared to Elastic’s 2.9% 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

5,362 Views
3,056 Comparison Views

92% willing to recommend

Elastic Security

Read 66 Elastic Security reviews

11,426 Views
5,484 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: February 2026).

Buyer's Guide

Amazon OpenSearch Service vs. Elastic Security

February 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

19th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (23rd), Search as a Service (3rd)

Elastic Security

Ranking in Log Management

9th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (5th), Endpoint Detection and Response (EDR) (14th), Security Orchestration Automation and Response (SOAR) (5th), Extended Detection and Response (XDR) (8th)

Mindshare comparison

As of February 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.2%, up from 1.8% compared to the previous year. The mindshare of Elastic Security is 2.9%, down from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Market Share Distribution
Product	Market Share (%)
Elastic Security	2.9%
Amazon OpenSearch Service	2.2%
Other	94.9%

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

"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"

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

"This service already sorts data like vectors. They have classified the storage pre-defined."

"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."

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

"The stability of the product is good."

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

"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."

More Amazon OpenSearch Service pros

"Elastic Security offers advanced features such as machine learning and integration with ChatGPT."

"The cost is reasonable. It's not overly pricey."

"The most valuable features of Elastic Security are it is open-source and provides a high level of security."

"Elastic Security is very easy to adapt."

"ELK documentation is very good, so never needed to contact technical support."

"Elastic has a lot of beats, such as Winlogbeat and Filebeat. Beats are the agents that have to be installed on the terminals to send the data. When we install beats or Elastic agents on every terminal, they don't overload the terminals. In other SIEM solutions such as Splunk or QRadar, when beats or agents are installed on endpoints, they are very heavy for the terminals. They consume a lot of power of the terminals, whereas Elastic agents hardly consume any power and don't overload the terminals."

"It is scalable."

"The feature that we have found the most valuable is scalability."

More Elastic Security pros

Cons

"One glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become problematic."

"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."

"We faced documentation challenges during integration after migrating from Elasticsearch to Amazon OpenSearch Service. Better documentation on integration, query handling, and a more user-friendly UI could enhance the product."

"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."

"One improvement I would like to see is support for auto-scaling."

"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."

"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."

More Amazon OpenSearch Service cons

"We had issues with scalability. Logstash was not scaling and aggregation was getting delayed. We moved to Fluentd making our stack from ELK to EFK."

"They don't provide user authentication and authorisation features (Shield) as a part of their open-source version."

"I think because we are a cybersecurity company, the thing that can be improved is the prebuilt tools, especially quality. Compared to its competitor, they still have fewer prebuilt security rules. Elastic Security, in terms of generating alerts, cannot group the same products into one another. Even though the alerts are the same, they still generate them one by one. So, it is very noisy in our dashboard. I would like the Elastic Security admin to group all the same alarms into one alarm so that our dashboard is not noisy."

"There should be a simulation environment to check whether my Elastic implementation is functioning perfectly fine. Other solutions have their own Android and iOS applications that I can install on my mobile so that I am continuously connected to the SIEM."

"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."

"If the documentation were improved and made more clear for beginners, or even professionals, then we would be more attracted to this solution."

"Elastic Security can be a bit difficult to use if a person only has experience in SMBs with tools like Zoho. The product can also be difficult for those who have never dealt with query language."

More Elastic Security cons

Pricing and Cost Advice

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

"You only pay for what you use."

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

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

"There is no charge for using the open-source version."

"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."

"This is an open-source product, so there are no costs."

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

"Affordable but with additional costs"

"The solution is not expensive and costs around ten dollars a month."

"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."

More Elastic Security pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

10%

Manufacturing Company

10%

Government

Computer Software Company

11%

Government

10%

Comms Service Provider

Manufacturing Company

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 16% of the time

Datadog vs Amazon OpenSearch Service

Compared 6% of the time

Amazon CloudWatch vs Amazon OpenSearch Service

Compared 6% of the time

Xapien vs Amazon OpenSearch Service

Compared 5% of the time

Amazon Athena vs Amazon OpenSearch Service

Compared 4% of the time

More Amazon OpenSearch Service Competitors

Wazuh vs Elastic Security

Compared 9% of the time

Splunk Enterprise Security vs Elastic Security

Compared 6% of the time

IBM Security QRadar vs Elastic Security

Compared 6% of the time

CrowdStrike Falcon vs Elastic Security

Compared 4% of the time

Microsoft Defender for Endpoint vs Elastic Security

Compared 4% of the time

More Elastic Security Competitors

Product Reports

Buyer's Guide

Amazon OpenSearch Service

February 2026

Download Amazon OpenSearch Service product report

Buyer's Guide

Elastic Security

February 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 is a robust, open-source security solution designed to offer integrated threat prevention, detection, and response capabilities across an organization's entire digital estate. Part of the Elastic Stack (which includes Elasticsearch, Logstash, and Kibana), Elastic Security leverages the power of search, analytics, and data aggregation to provide real-time insight into threats and vulnerabilities. It is a comprehensive platform that supports a wide range of security needs, from endpoint protection to cloud and network security, making it a versatile choice for organizations looking to enhance their cybersecurity posture.

Elastic Security combines the features of a security information and event management (SIEM) system with endpoint protection, allowing organizations to detect, investigate, and respond to threats in real time. This unified approach helps reduce complexity and improve the efficiency of security operations.

Additional offerings and benefits:

The platform utilizes advanced analytics, machine learning algorithms, and anomaly detection to identify threats and suspicious activities.
It offers extensive integration options with other tools and platforms, facilitating a more cohesive and comprehensive security ecosystem.
With Kibana, users gain access to powerful visualization tools and dashboards that provide real-time insight into security data.

Finally, Elastic Security benefits from a global community of users who contribute to its threat intelligence, helping to enhance its detection capabilities. This collaborative approach ensures that the solution remains on the cutting edge of cybersecurity, with up-to-date information on the latest threats and vulnerabilities.

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

February 2026

Free Report: Amazon OpenSearch Service vs. Elastic Security

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