Amazon OpenSearch Service vs Graylog comparison

Amazon OpenSearch Service

Read 21 Graylog reviews

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Executive SummaryUpdated on Oct 9, 2024

Graylog and Amazon OpenSearch Service both compete in the log management and analytics platform category. Graylog holds an advantage in cost-effectiveness and ease of use, while Amazon OpenSearch Service excels in scalability and integration, appealing to large-scale deployments.

Features: Graylog is recognized for its efficient search capabilities, custom dashboard options, and ease of use. Amazon OpenSearch Service stands out with advanced analytics, seamless integration with AWS, and scalability.

Room for Improvement: Graylog needs to improve scalability, documentation, and support for larger environments. Amazon OpenSearch Service requires enhancements in ease of configuration, resource consumption, and simplifying the configuration process.

Ease of Deployment and Customer Service: Graylog offers straightforward deployment with responsive customer service, making implementation easy. Amazon OpenSearch Service provides flexible deployment options but has mixed feedback on customer support responsiveness, with a focus on deployment scalability.

Pricing and ROI: Graylog is cost-effective, offering positive ROI feedback and attracting budget-conscious users. Amazon OpenSearch Service is perceived as pricier, justified by its rich feature environment, and favored by users who value AWS integration.

To learn more, read our detailed Amazon OpenSearch Service vs. Graylog Report (Updated: July 2025).

Amazon OpenSearch Service vs. Graylog

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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

22nd

Average Rating

7.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (24th)

Graylog

Ranking in Log Management

15th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2025, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.7%, up from 0.3% compared to the previous year. The mindshare of Graylog is 6.5%, up from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management

Featured Reviews

Johnny Suleiman

MS AWS expert at Bespin Global MEA, an e& enterprise Company

Scalability is a key feature as it allows easy scaling of the platform without downtime

OpenSearch is used as a search engine for specific logs, mainly in e-commerce and monitoring the logs themselves. It is very valuable for e-commerce, enabling data analysis on application logs and customer behavior, and can be integrated with other services, including AI and machine learning…

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Ivan Kokalovic

DevOps Engineer at Proton Technologies

Facilitates backend service monitoring with efficient log retrieval and API flexibility

Graylog is valuable because it bridges technical knowledge to non-technical teams, presenting complex backend processes in a simple timeline. It boosts the knowledge of sales and customer support teams by allowing them to see the backend operations without needing to read the code. Its API is flexible for visualization, and its powerful search engine efficiently handles large volumes of log data. Moreover, its stability, fast search capabilities, and compatibility with languages like ANSI SQL enhance its utility in IT infrastructure.

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

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

"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."

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

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

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

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

"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 has enhanced our organization's ability to store and search large amounts of data efficiently."

"The best feature of Graylog is the Elasticsearch integration. We can integrate and we can run filters, such as an event of interest, and those logs we can send to any SIEM tool or as an analytic. Additionally, there are clear and well-documented implementation instructions on their website to follow if needed."

"Everything stands out as valuable, including the fact that I can quantify and qualify the logs, create pipelines and process the logs in any way I like, and create charts or data maps."

"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."

"Allowing us to set up alerts and integrate with platforms we already use, such as Slack and OpsGenie to alert users of these errors proactively, is also a very useful feature."

"It has data adapters and lookup tables that utilize HTTP calls to APIs."

"Open source and user friendly."

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

"The product is scalable. The solution is stable."

More Graylog pros

Cons

"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."

"They can enhance data visualization."

"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."

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

"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."

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

"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."

"The area in Graylog that needs to be improved or enhanced would be the integrations."

"Graylog needs to improve their authentication. Also, the fact that Graylog displays logs from the top down is just ridiculous."

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

"We ran into problems with Elasticsearch throwing a circuit-breaking exception due to field data size being too large. It turned out that the heap size directly impacted this size in a high-throughput environment, causing unexplained instability in Graylog. We were able to troubleshoot on the Elasticsearch size, but we should have been able to reference some minimum requirements for Graylog to know that our settings weren't sufficient."

"There should be some user groups and an auto sign-in feature."

"Since container orchestration systems are popular and Graylog fits the niche well, perhaps they could officially support running in docker containers on Kubernetes as a StatefulSet as a use case. That way, the declarative nature of Kubernetes config files would document their best case deployment scenario-"

"Over six months, I had two similar issues where searches were performed on field "messages". It exhausted all the memory of the ES node causing an ES crash and a Graylog halt."

More Graylog cons

Pricing and Cost Advice

Information not available

"There is an open source version and an enterprise version. I wouldn't recommend the enterprise version, but as an open source solution, it is solid and works really well."

"Having paid official support is wise for projects."

"If you want something that works and do not have the money for Splunk or QRadar, take Graylog."

"We are using the free version of the product. However, the paid version is expensive."

"I use the free version of Graylog."

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

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

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

More Graylog pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

14%

Manufacturing Company

Government

Computer Software Company

17%

Comms Service Provider

10%

Government

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

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?

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 t...

What do you like most about Graylog?

The product is scalable. The solution is stable.

What is your experience regarding pricing and costs for Graylog?

I am not familiar with the pricing details of Graylog, as I was not responsible for that aspect. It was determined that we didn't need an enterprise plan, which is more suited for clients with less...

What needs improvement with Graylog?

An improvement I would suggest is in Graylog's user interface, such as allowing for font size adjustments. A potential enhancement could be the integration with Ollama to run large language models ...

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Product Reports

Amazon OpenSearch Service

Download Amazon OpenSearch Service product report

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Also Known As

No data available

Graylog2

Overview

Amazon OpenSearch Service is often used for log analysis, real-time application monitoring, and searching large datasets. Users benefit from its scalability, ease of use, and AWS integration, appreciating its capability to handle high data volumes while providing efficient search functionalities.

Many users choose Amazon OpenSearch Service for its powerful search and indexing capabilities, real-time analytics, and strong integration with AWS services. Key highlights include minimal downtime, detailed documentation, and efficient data processing. Scalability and automatic scaling are standout features, enabling users to manage high data volumes seamlessly. However, there is a call for improved integration, enhanced stability, and better support. Some users find the setup and configuration process challenging and desire more customization options for security features.

What are the key features of Amazon OpenSearch Service?

Scalability: Automatically scales to accommodate data growth and workload fluctuations.
Real-Time Analytics: Provides up-to-date insights and monitoring for applications.
Integration with AWS: Easily integrates with other AWS services, enhancing workflows.
Powerful Search Capabilities: Fast and efficient search and indexing functionalities.
Detailed Documentation: Comprehensive guides and resources to assist users.
Security Features: Flexible security options to protect data and manage access.

What benefits should users look for in reviews?

Efficiency: Quick data processing and minimal downtime.
Scalability: Ability to handle increasing data volumes without manual intervention.
Ease of Use: User-friendly interface and management tools.
Reliability: Consistent performance with robust support for data management workflows.
Integration: Seamless integration with existing AWS services and infrastructure.

In industries such as finance, healthcare, and e-commerce, Amazon OpenSearch Service is implemented to manage and analyze large datasets in real time. Companies benefit from its ability to monitor application performance, analyze log data, and enhance search functionalities, leading to improved operational efficiency and decision-making processes.

Amazon Web Services (AWS)

Graylog is purpose-built to deliver the best log collection, storage, enrichment, and analysis. Graylog is:

Considerably faster analysis speeds.
More robust and easier-to-use analysis platform.
Simpler administration and infrastructure management.
Lower cost than alternatives.
Full-scale customer service.
No expensive training or tool experts required.

Sample Customers

Information Not Available

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

Amazon OpenSearch Service vs. Graylog