Amazon OpenSearch Service vs Graylog Enterprise comparison

Amazon OpenSearch Service vs. Graylog Enterprise

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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 (22nd), Search as a Service (3rd)

Graylog Enterprise

Ranking in Log Management

8th

Average Rating

8.0

Reviews Sentiment

5.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 1.6%, down from 2.6% compared to the previous year. The mindshare of Graylog Enterprise is 2.8%, down from 6.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
Graylog Enterprise	2.8%
Amazon OpenSearch Service	1.6%
Other	95.6%

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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NicolaeCIornii

Security Officer at JSC "Moldtelecom" S.A.

Log analysis has become clearer and faster but visualization and extensibility still need work

The problem was with the complexity and the cost to add extensions. We found this very expensive to buy another version with additional features. I think that Graylog Enterprise does not have customizable dashboards. I did not see them in Graylog Enterprise because most of the time we used the open source free version, which is limited. I think Graylog Enterprise should improve some things that they have in the paid version and perhaps provide users with a menu that gives examples of parsing logs and draws graphics so that people do not need to improve another system such as Grafana. This would be interesting. When it comes to functionalities, I found the log management in Graylog Enterprise acceptable. It is very simple to use and to collect logs. It has support for different protocols and different ports, and the sidecar is easy to use. However, in visualization, I think it needs to be much better.

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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

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

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

"The stability of the product is good."

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

"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."

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

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

More Amazon OpenSearch Service pros

"The build is stable and requires little maintenance, even compared to some extremely expensive products."

"With Graylog Enterprise, monitoring improved by up to 80 percent because of having all the logs centralized."

"What I like about Graylog is that it's real-time and you have access to the raw data. So, you ingest it, and you have access to every message and every data item you ingest. You can then build analytics on top of that. You can look at the raw data, and you can do some volumetric estimations, such as how big traffic you have, how many messages of data of a type you have, etc."

"Graylog Enterprise positively impacts the organization by helping the team and analysts investigate incidents faster since logs from servers, endpoints, cloud, and firewalls are available in one place."

"This had increased productivity for the dev and support teams, because we are directly notifying them."

"Storing logs in Elasticsearch means log retrieval is extremely fast, and full text search is available by default."

"Real-time UDP/GELF logging and full text-based searching."

"The product does all the things it must do very well."

More Graylog Enterprise pros

Cons

"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."

"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."

"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."

"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."

"They can enhance data visualization."

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

"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."

"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."

More Amazon OpenSearch Service cons

"Graylog could improve the process of creating rules. We have to create them manually by doing parses and applying them. Other SIEM solutions have basic rules and you can create and get more events of interest."

"Dashboards, stream alerts and parsing could be improved."

"The biggest problem is the collector application, as we wanted to avoid using Graylog Collector Sidecar due to its architecture."

"The initial setup was really complex because I did it myself."

"The support from the Graylog community is helpful, but they can do better."

"More complex visualizations and the ability to execute custom Elasticsearch queries would be great."

"I would like to see a default dashboard widget that shows the topology of the clusters defined for the graylog install."

"Its scalability gets complicated when we have to update or edit multiple nodes."

More Graylog Enterprise cons

Pricing and Cost Advice

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

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

"You only pay for what you use."

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

"Graylog is a free open-source solution. The free version has a capacity limitation of 2 GB daily, if you want to go above this you have to purchase a license."

"I am using a community edition. I have not looked at the enterprise offering from Graylog."

"Having paid official support is wise for projects."

"Consider Enterprise support if you have atypical needs or setup requirements."

"We're using the Community edition."

"You get a lot out-of-the-box with the non-enterprise version, so give it a try first."

"It's an open-source solution that can be used free of charge."

"I use the free version of Graylog."

More Graylog Enterprise 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

Computer Software Company

12%

Comms Service Provider

11%

University

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	4

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	5
Large Enterprise	11

Questions from the Community

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...

What needs improvement with Amazon OpenSearch Service?

What is your primary use case for Amazon OpenSearch Service?

Amazon OpenSearch Service is a user-friendly version of Elasticsearch, as per my understanding. I have been using it for our volunteer management system where around 5,000 to 6,000 users are using ...

What is your experience regarding pricing and costs for Graylog?

I am not sure about the pricing, setup cost, and licensing because that was dealt with by a different team that handled the licensing and procurement.

What needs improvement with Graylog?

Graylog Enterprise performs well overall; however, the UI could be improved because the SOC team creates multiple dashboards based on their use cases, and creating dashboards is complex. If there w...

What is your primary use case for Graylog?

Graylog Enterprise is used primarily for log management and to perform security analytics. It helps the organization collect logs from different sources and centralize them in one place. We can sea...

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Product Reports

Amazon OpenSearch Service

Download Amazon OpenSearch Service product report

Graylog Enterprise

Download Graylog Enterprise product report

Also Known As

Amazon Elasticsearch Service

Graylog2

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)

Graylog Enterprise, recognized for log collection, real-time search, and enriched data handling, offers an open-source framework that integrates seamlessly with Elasticsearch. Its user-centric interface streamlines data correlation and log aggregation, supporting both backend services and comprehensive monitoring needs.

Graylog Enterprise stands out for its stability and powerful log management capabilities, facilitating efficient log aggregation, real-time updates, and data analytics. Users benefit from its plugin-based alerting, user-friendly interface, and support for microservices, including Docker integration. The ability to search in detail, flexible API integration, and data enrichment features are highly valued. Challenges include collector application issues, desired visualization enhancements, and authentication integration improvements. Users seek advancements in UI customization, backup functions, and easier rule creation.

What are Graylog Enterprise's most important features?

Log Collection: Efficiently aggregates and handles diverse logs.
Real-Time Search: Provides immediate log data access.
Custom Alerts: Plugin-based alerting for tailored notifications.
Dashboard Enhancements: Improved visualization for data insights.
Data Enrichment: Adds value through detailed log analysis.

What benefits and ROI can users expect?

Audit Trail Support: Essential for compliance in financial sectors.
Security Event Correlation: Enables incident analysis and response.
Faster Issue Identification: Speeds up troubleshooting with detailed visualization.
API Flexibility: Seamless integration across systems and environments.
Comprehensive Monitoring: Centralized log management enhances oversight.

In industrial use, Graylog Enterprise is crucial for audit trailing in financial sectors, facilitating security event identification and error monitoring. Backend teams leverage real-time analytics for swift issue resolution, while developers appreciate the comprehensive log visualization enabled by Docker integration for microservice management.

Graylog

Sample Customers

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

Blue Cross Blue Shield, eBay, Cisco, LinkedIn, SAP, King.com, Twilio, Deutsche Presse-Agentur

Amazon OpenSearch Service vs. Graylog Enterprise