Datadog vs Graylog Enterprise comparison

Why PeerSpot?

Datadog and Graylog are both solutions in the Log Management category. Datadog is ranked #3 with an average rating of 8.7, while Graylog is ranked #7 with an average rating of 8.1. Datadog holds a 3.7% mindshare in Log Management, compared to Graylog’s 2.3% mindshare. Additionally, 97% of Datadog users are willing to recommend the solution, compared to 96% of Graylog users who would recommend it.

Datadog

Read 211 Datadog reviews

45,231 Views
12,665 Comparison Views

97% willing to recommend

Graylog Enterprise

Read 25 Graylog Enterprise reviews

8,810 Views
8,722 Comparison Views

96% willing to recommend

Datadog

Graylog Enterprise

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Executive SummaryUpdated on Mar 15, 2026

Datadog and Graylog Enterprise are both competitive solutions in the IT and monitoring space. Datadog seems to have an edge with its comprehensive integrations and visualization capabilities across multiple cloud environments and systems like AWS, whereas Graylog Enterprise excels in its robust search and alerting features, particularly beneficial for security applications.

Features: Datadog offers an extensive range of integrations and easy-to-use dashboards, making it ideal for automated monitoring and analytics across various systems without the need for extensive infrastructure management. Key features include intuitive tagging and anomaly detection. Graylog Enterprise is distinguished by its superior alerting and search capabilities, providing detailed data management and the ability to quickly resolve issues and analyze logs efficiently due to its high-performance search engine.

Room for Improvement: Datadog could enhance its data analysis speed, custom metric tracking, and visual customization options. Users also seek more transparency in usage visibility and stability of certain features. Graylog Enterprise can improve its user interface and offer more flexible alert conditions. Better integration options and comprehensive documentation would enhance its user experience.

Ease of Deployment and Customer Service: Datadog is highly flexible, offering seamless deployment across public, private, and hybrid cloud environments. It generally receives favorable reviews for its responsive customer service, although some users desire more personalized support. Graylog, particularly robust on-premises or in private clouds, suits those experienced with manual implementations. While proactive support is available, real-time assistance access could be improved.

Pricing and ROI: Datadog's complex pricing model can lead to hidden costs, especially for scaling usage. However, its robust capabilities often justify the cost for larger organizations, offering value in operational efficiency despite the high initial expense. In contrast, Graylog's open-source option is cost-effective for smaller setups managing moderate data volumes. Its Enterprise version, although more expensive, provides a good ROI due to its effective log management and alerting features.

To learn more, read our detailed Datadog vs. Graylog Enterprise Report (Updated: September 2026).

Buyer's Guide

Datadog vs. Graylog Enterprise

September 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

Datadog

Ranking in Log Management

3rd

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

211

Ranking in other categories

Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (1st), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (6th), AI Observability (1st)

Graylog Enterprise

Ranking in Log Management

7th

Average Rating

8.0

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the Log Management category, the mindshare of Datadog is 3.7%, down from 5.8% compared to the previous year. The mindshare of Graylog Enterprise is 2.3%, down from 6.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
Datadog	3.7%
Graylog Enterprise	2.3%
Other	94.0%

Log Management

Featured Reviews

Dhroov Patel

Site Reliability Engineer at Grainger

Has improved incident response with better root cause visibility and supports flexible on-call scheduling

Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.

Read full review

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.

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

"Datadog has allowed us to ensure that we can look at how our beta testers are using our new UIs and seeing where their frustration points are, which has been important to us."

"Since we integrated Datadog, we have had increased confidence in the quality of our service, and we had an easier time increasing our delivery velocity."

"The solution is stable and reliable."

"We find they have a very helpful alert system."

"The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need."

"The initial setup was straightforward from my own experience, helping integrate within the application and service levels."

"The setup cost was minimal."

"The ease of graph building is nice, and MUCH easier than Prometheus."

More Datadog pros

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

"UDP is a fast and lightweight protocol, perfect for sending large volumes of logs with minimal overhead."

"Graylog Enterprise has positively impacted my organization by significantly minimizing our workload and making it easier to identify any issues in a service."

"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events."

"Feature-wise or from the end user perspective, Graylog is just great."

"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."

"I like the simplicity of the solution, the fact that it's open source and user friendly."

"One of the most valuable features is that you are able to do a very detailed search through the log messages in the overview."

More Graylog Enterprise pros

Cons

"The installation is easy for me. However, if you are new to this solution it might not be so easy."

"For some features, it was quite expensive. For example, APM and RAM, and Session Replays."

"The setup was a bit complex."

"The dashboard could be improved. It would be helpful to get a view of specific things that we need to monitor for our application."

"The pricing model could be simplified as it feels a bit outdated, especially when you look at the billing model of compute instances vs the containers instances."

"They could enhance the alerting functions by creating a new feature to add direct SMS notifications, on-call rotation scheduling, etc., that could replace the need to have this as an external third-party solution integration."

"The product needs to have more enterprise approach to configuration."

"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."

More Datadog cons

"The infrastructure cost is the main issue. I like the rest. If the infrastructure costs could be lower, it would be fantastic."

"Lacks sufficient documentation."

"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."

"Elasticsearch recommendations for tuning could be better. Graylog doesn't have direct support for running the system inside of Kubernetes, so it can be challenging to fill in the gaps and set up containers in a way that is both performant and stable."

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

"There are many other applications in the market that influenced my rating reduction."

"For Python developers, it would be great if Graylog could provide a better Python package in order to make it easier to use for the Python community."

"When it comes to configuring the processing pipeline, writing the rules can be very tedious, especially since the documentation isn't extensive on how the functions provided for these rules work."

More Graylog Enterprise cons

Pricing and Cost Advice

"Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."

"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."

"This solution is budget friendly."

"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."

"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."

"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."

"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."

"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."

More Datadog pricing and cost advice

"I use the free version of Graylog."

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

"Having paid official support is wise for projects."

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

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

"We're using the Community edition."

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

"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."

More Graylog Enterprise pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

Outsourcing Company

Computer Software Company

Comms Service Provider

11%

Computer Software Company

11%

Financial Services Firm

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	81
Midsize Enterprise	50
Large Enterprise	100

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	4
Large Enterprise	11

Questions from the Community

Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...

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

Which would you choose - Datadog or Dynatrace?

Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...

See all answers

What is your experience regarding pricing and costs for Graylog?

I find the pricing, setup cost, and licensing of Graylog Enterprise to be somewhat expensive. However, it is cost-effective compared to other larger platforms. The pricing depends on factors such a...

See all answers

What needs improvement with Graylog?

One improvement I want to see in Graylog Enterprise is artificial intelligence to help us automatically identify unusual patterns and suggest possible causes. I also want to see more ready-made das...

See all answers

What is your primary use case for Graylog?

Graylog Enterprise serves as my main centralized log management solution. In our environment, we have many systems that generate logs, including servers, applications, network devices, and security...

See all answers

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Splunk Enterprise Security vs Datadog

Compared 2% of the time

Avantra vs Datadog

Compared 2% of the time

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Splunk Enterprise Security vs Graylog Enterprise

Compared 7% of the time

LogRhythm SIEM vs Graylog Enterprise

Compared 6% of the time

Grafana Loki vs Graylog Enterprise

Compared 6% of the time

syslog-ng by One Identity vs Graylog Enterprise

Compared 4% of the time

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Product Reports

Buyer's Guide

Datadog

September 2026

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Buyer's Guide

Graylog Enterprise

September 2026

Download Graylog Enterprise product report

Also Known As

No data available

Graylog2

Overview

Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.

Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.

What are Datadog's Key Features?

Sharable Dashboards: Facilitate collaboration with customizable, intuitive dashboards.
Extensive Integrations: Seamlessly connects with tools like Slack and AWS to support workflows.
APM and RUM: Provides deep insights into application performance and user interactions.
Real-Time Tools: Enables agile responses to system issues with real-time monitoring.
Unified Tagging and Visualization: Eases management of complex systems with simplified visualization.

What Benefits and ROI Should Users Look For?

Efficient Troubleshooting: Centralized logging speeds up the identification and resolution of issues.
Streamlined Workflows: Integrations with popular tools enhance operational efficiency.
Improved Observability: Comprehensive monitoring improves system reliability and performance.
Resource Optimization: Efficient microservices and container management leads to better cloud resource utilization.
Responsive Alerts: Customizable alerts ensure timely identification of critical issues.

In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.

Datadog

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

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's

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

Buyer's Guide

Datadog vs. Graylog Enterprise

September 2026

Free Report: Datadog vs. Graylog Enterprise

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