Datadog vs Graylog Enterprise comparison

Datadog and Graylog are both solutions in the Log Management category. Datadog is ranked #4 with an average rating of 8.7, while Graylog is ranked #15 with an average rating of 7.0. Datadog holds a 5.7% mindshare in Log Management, compared to Graylog’s 6.0% mindshare. Additionally, 97% of Datadog users are willing to recommend the solution, compared to 95% of Graylog users who would recommend it.

Datadog

Read 206 Datadog reviews

23,433 Views
9,139 Comparison Views

97% willing to recommend

Graylog Enterprise

Read 21 Graylog Enterprise reviews

8,356 Views
8,356 Comparison Views

95% willing to recommend

Datadog

Graylog Enterprise

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Sep 8, 2025

Datadog and Graylog Enterprise are prominent monitoring tools in the tech industry. Datadog has the edge in user-friendliness and visualization features, making it more accessible for non-developers, while Graylog's open-source flexibility and customization are favored by tech-savvy users.

Features: Datadog's ecosystem includes sharable dashboards, intuitive tagging, and numerous integrations such as AWS and Docker, making it easy for non-developers. Its visualization and logging capabilities are notable. Graylog Enterprise offers open-source flexibility, real-time logging, efficient structured data search, stream alerts, dashboards, scalability, and plugin support.

Room for Improvement: Datadog could enhance long-term metrics performance and real-time insights, with calls for better integration and more intuitive documentation. Concerns over high costs for additional metrics and logging are noted. Graylog Enterprise's alerting system flexibility and real-time log layout need improvement. Better documentation and smoother Kubernetes integration could be beneficial.

Ease of Deployment and Customer Service: Datadog supports diverse environments, including private, public, and hybrid clouds, with praised yet sometimes slow technical support. Graylog primarily supports on-premises and hybrid clouds, suiting controlled environments but occasionally faces technical support speed issues.

Pricing and ROI: Datadog's comprehensive features come at a higher price, especially for large-scale data consumption, though it offers a strong ROI by enhancing operational efficiencies. Graylog Enterprise provides a cost-effective solution with its open-source version appealing to smaller entities or those with limited resources, despite lacking some advanced features.

To learn more, read our detailed Datadog vs. Graylog Enterprise Report (Updated: September 2025).

Buyer's Guide

Datadog vs. Graylog Enterprise

September 2025

Download the complete report

Helped 871,829 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

Datadog

Ranking in Log Management

4th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

206

Ranking in other categories

Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (4th), IT Infrastructure Monitoring (3rd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)

Graylog Enterprise

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 October 2025, in the Log Management category, the mindshare of Datadog is 5.7%, down from 6.6% compared to the previous year. The mindshare of Graylog Enterprise is 6.0%, up from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Market Share Distribution
Product	Market Share (%)
Datadog	5.7%
Graylog Enterprise	6.0%
Other	88.3%

Log Management

Featured Reviews

Prakash Pandey

IT Manager at Liberty Mutual Insurance

Has improved monitoring accuracy and enabled faster issue resolution through detailed alerting and transaction visibility

The best feature that Datadog offers is infrastructure monitoring, where it can look at the CPU utilization, different process utilization, all the processes which are running, and alert us in advance if things are going beyond normal threshold. I think everything about the features of Datadog is amazing. Datadog provides details up to the transactions. We can look at the transaction log too for the application, which is really helpful. Datadog has impacted our organization positively since we were previously using AppDynamics and then we switched to Datadog. It has improved a lot in our alerting and monitoring in the infrastructure space and application space. We can monitor business transactions and take proactive action. It is really great to take actions on the issues before an end user reports it, which is a great advantage for us.

Read full review

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

"Datadog has positively impacted my organization by allowing for a more proactive response to issues whenever they occur."

"The ease of use allowed me to get up to speed with log management since it's my first time using Datadog."

"The installation step is pretty straightforward."

"Thanks to frequent concurrent deployments, the DataDog alerts monitors allow us quickly detect issues if anything occurs."

"We can handle debugging and find out why things are breaking in our applications."

"With Datadog I can look at the health of the technology stack and services."

"It has saved us a lot of trouble in implementation."

"The dashboards provide a comprehensive and visually intuitive way to monitor all our key data points in real-time, making it easier to spot trends and potential issues."

More Datadog pros

"Open source and user friendly."

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

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

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

"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."

"The Graylog features that have proven to be most beneficial for our data analysis in particular are that we tend to use it as a big data store, so we have the correlation rules that, if something matches under certain conditions, it raises an alarm."

"We have scaled from a single machine installation (a VM with a Graylog + ES + MongoDB) to (2 Graylog + 2 ES + 3 MongoDB). This was done smoothly with a minimal impact on logging."

"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."

More Graylog Enterprise pros

Cons

"Datadog's roadmap can be a bit unpredictable at times."

"I would like testing for data in the future."

"We need more visibility into the error tracking dashboard."

"I'd like to see better pricing and more integration in the next release."

"It seems that admin cost control granularity is an afterthought."

"To be very fair, I haven't had enough experience with Datadog to pick out improvements."

"At the beginning, when we started throwing logs at it, there was a bit of hiccup. However, this was during their beta period, so hiccups were expected."

"In production, we intend to use trace IDs generated by RUM to attach to support tickets when a user experiences a traceable network error, and we want to display this trace ID to the user so if they were to contact us about a specific issue, they can provide us an exact ID displayed to them back to us. Currently, this is not possible out-of-the-box client-side without inventing our own solution for capturing these trace IDs, such as shimming the native fetch or returning the ID from the service response."

More Datadog cons

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

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

"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."

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

"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."

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

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

"Graylog can improve the index rotation as it's quite a complex solution."

More Graylog Enterprise cons

Pricing and Cost Advice

"While it is an expensive product, I would rate the pricing level at four out of five."

"If you do your homework, you'll find that if you're really concerned with cost, it's good."

"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."

"They prefer monthly subscriptions."

"It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."

"This solution is budget friendly."

"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."

"Pricing seemed easy until the bill came in and some things were not accounted for."

More Datadog pricing and cost advice

"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."

"It's open source and free. They have a paid version, but we never looked into that because we never needed the features of the paid version."

"Having paid official support is wise for projects."

"I use the free version of Graylog."

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

"We're using the Community edition."

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

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

More Graylog Enterprise 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

871,829 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

14%

Manufacturing Company

Retailer

Computer Software Company

16%

Comms Service Provider

10%

University

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	80
Midsize Enterprise	46
Large Enterprise	94

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	4
Large Enterprise	7

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 do you like most about Graylog?

The product is scalable. The solution is stable.

See all answers

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...

See all answers

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 ...

See all answers

Comparisons

Dynatrace vs Datadog

Compared 11% of the time

Azure Monitor vs Datadog

Compared 7% of the time

Splunk Enterprise Security vs Datadog

Compared 4% of the time

New Relic vs Datadog

Compared 4% of the time

AWS X-Ray vs Datadog

Compared 4% of the time

More Datadog Competitors

Grafana Loki vs Graylog Enterprise

Compared 31% of the time

Wazuh vs Graylog Enterprise

Compared 25% of the time

syslog-ng vs Graylog Enterprise

Compared 11% of the time

Security Onion vs Graylog Enterprise

Compared 6% of the time

Fortinet FortiAnalyzer vs Graylog Enterprise

Compared 3% of the time

More Graylog Enterprise Competitors

Product Reports

Buyer's Guide

Datadog

October 2025

Download Datadog product report

Buyer's Guide

Graylog Enterprise

October 2025

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 2025

Free Report: Datadog vs. Graylog Enterprise

Find out what your peers are saying about Datadog vs. Graylog Enterprise and other solutions. Updated: September 2025.

DOWNLOAD NOW

871,829 professionals have used our research since 2012.

See our Datadog vs. Graylog Enterprise 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.