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

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Nov 16, 2025

Elastic Security and Amazon OpenSearch Service are leading competitors in the log management and analysis category. Elastic Security may have the upper hand due to its open-source features and cost-effectiveness, appealing to SMEs with budget constraints.

Features: Elastic Security boasts comprehensive open-source features including powerful indexing, machine learning capabilities, and seamless integration with the ELK Stack. Users highlight its scalability and speed, making it ideal for threat hunting. Amazon OpenSearch Service is recognized for its managed service advantage and performance in handling large-scale data searches, offering fast and efficient results, particularly beneficial for big enterprises.

Room for Improvement: Elastic Security faces challenges with its authentication and notification features, with users wanting better automation, documentation clarity, and more out-of-the-box use cases. Amazon OpenSearch Service requires enhancements in configuration flexibility and cost-effectiveness, with suggestions for improved user customization and pricing structures.

Ease of Deployment and Customer Service: Elastic Security provides deployment flexibility across on-premises, private, and hybrid clouds, backed by strong community support. Its complexity can be daunting without specialized knowledge. Amazon OpenSearch Service simplifies deployment via public cloud managed services, though customization options might be limited. Both solutions rely on community support for customer service, with Elastic sometimes facing slower response times.

Pricing and ROI: Elastic Security offers a cost-effective open-source model, yielding high ROI with minimal basic costs, though premium features may be chargeable. Amazon OpenSearch Service, with higher-managed service pricing, suits users prioritizing reduced infrastructure management overhead, justifying costs with its managed nature.

To learn more, read our detailed Amazon OpenSearch Service vs. Elastic Security Report (Updated: December 2025).

Buyer's Guide

Amazon OpenSearch Service vs. Elastic Security

December 2025

Download the complete report

Helped 881,665 peers since 2012

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.

Read full review

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.

Read full review

Quotes from Members

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

Pros

"The most valuable features of Amazon Elasticsearch are ease of use, native JSON, and efficiency. Additionally, handles many use cases and search grammar was useful."

"The customer service is excellent, rated nine out of ten."

"It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs."

"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."

"In case there is a failure, Elastic manages everything well, and there no major downtime."

"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 stability of the product is good."

More Amazon OpenSearch Service pros

"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."

"The most valuable thing is that this solution is widely used for work management and research. It's easy to jump into the security use case with the same technology."

"I like the indexing of the logs."

"The product has huge integration varieties available."

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

"ELK Logstash is easy and fast, at least for the initial setup with the out of box uses."

"The indexes allow you to get your results quickly. The filtering and log passing is the advantage of Logstash."

"The most valuable feature of Elastic Security is that you can install agents, and they are not separately licensed."

More Elastic Security pros

Cons

"I would say that, basically, the configuration part is an area with a shortcoming...Some upgradation is required on the configuration side so that we can get to use it."

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

"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."

"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."

"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."

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

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

"The pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing."

More Amazon OpenSearch Service cons

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

"Anything that supports high availability or ease of deployment in a highly available environment would help to improve this solution."

"The solution could offer better reporting features."

"I would like the process of retrieving archived data and viewing it in Kibana to be simplified."

"There isn't really a very good user experience. You need a lot of training."

"Improvements in Elastic Security could include refining and normalizing queries to make them more user-friendly, enhancing the user experience with better documentation, and addressing any latency issues."

"In terms of what could be improved with Elastic, in some use cases, especially on the advanced level, they are not ready made, so you'll have to write some scripts."

"In terms of improvement, there could be more automation in responding to and evaluating detections."

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."

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

"Elastic Security is free to use."

"When compared to other products, the price is average or on the low side."

"The product offers an amazing pricing structure. Price-wise, the product is very competitive."

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

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

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

"Affordable but with additional costs"

More Elastic Security pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Log Management solutions are best for your needs.

See recommendations

881,665 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

11%

Manufacturing Company

10%

Government

Computer Software Company

11%

Government

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 17% 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 10% 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

January 2026

Download Amazon OpenSearch Service product report

Buyer's Guide

Elastic Security

January 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

December 2025

Free Report: Amazon OpenSearch Service vs. Elastic Security

Find out what your peers are saying about Amazon OpenSearch Service vs. Elastic Security and other solutions. Updated: December 2025.

DOWNLOAD NOW

881,665 professionals have used our research since 2012.

See our Amazon OpenSearch Service vs. Elastic Security report.

See our list of best Log Management vendors.

We monitor all Log Management 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.