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Datadog vs Graylog Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

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
6.9
Number of Reviews
211
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Graylog Enterprise
Ranking in Log Management
8th
Average Rating
8.0
Reviews Sentiment
5.8
Number of Reviews
27
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Log Management category, the mindshare of Datadog is 3.9%, down from 6.0% compared to the previous year. The mindshare of Graylog Enterprise is 2.5%, down from 6.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Datadog3.9%
Graylog Enterprise2.5%
Other93.6%
Log Management
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
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.
Merit Ronald - PeerSpot reviewer
Senior Software Engineer at Absa Bank Uganda
Centralized log insights have reduced investigation time and improve security response
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 dashboards and alert templates for common security use cases to help us gain value from the platform faster after deployment. Lastly, I want to see improvements in handling very large volumes of data, especially after searching, and a more user-friendly log management system, particularly in large environments. I give Graylog Enterprise a 9 out of 10 because it has a limitation of a steep learning curve for new users due to the many configuration options. It takes considerable time to become comfortable with creating searches, dashboards, and alerts. Additionally, in very large environments with large volumes of logs, it requires careful planning, and its data retention is quite limited.

Quotes from Members

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

Pros

"It has enhanced the performance of my team."
"Datadog APM immensely improved our ability to understand the reasons behind production issues."
"Monitoring has been invaluable, and as we start to look to other products, bringing in logs and APM traces will create a full picture of what we need to do to resolve incidents."
"Datadog has had a significant positive impact on our organization overall, particularly in visibility, reliability, and cost efficiency, allowing us to centralize metrics, logs, and traces across our cloud, moving from reactive to proactive monitoring, with improvements including faster incident detection and resolution, enhanced service reliability, better cost and resource optimization, and shared dashboards providing the engineering and product teams a single source of truth for system health and performance, thus enhancing our overall observability and operational efficiency."
"Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up."
"The best way it has helped us is by consolidating all our logs into a single place and making it easier to find errors."
"Sometimes it's more user friendly for development teams, and there are parts of Datadog that are more understandable for development teams; for example, the APM in Datadog works more manually and works like the tools in New Relic, Grafana, or Elastic, making it easier to understand for software development teams."
"Its logs are most valuable."
"Graylog Enterprise has positively impacted my organization by significantly minimizing our workload and making it easier to identify any issues in a service."
"This had increased productivity for the dev and support teams, because we are directly notifying them."
"I like the correlation and the alerting."
"I am very proud of how very stable the solution is."
"The build is stable and requires little maintenance, even compared to some extremely expensive products."
"The solution's most valuable feature is its new interface."
"It is used as a log manager/SIEM. It provides visibility into the infrastructure and security related events."
"Troubleshooting is straightforward with Graylog Enterprise."
 

Cons

"When the logs are too big, and Datadog splits them, the JSON format breaks and it is not so useful for us."
"The pricing model can be quite complex and might benefit from more flexible options tailored to different organizational needs."
"It is very difficult to make the solutions fit perfectly for large organizations, especially in terms of high cardinality objects and multi-tenancy, where the data needs to be rolled up to a summarized level while maintaining its individual data granularity and identifiers."
"I'm not sure if Datadog can monitor K8s deployments in real-time. For instance, being able to see a deployment step by step visually. This would be helpful if there were any incidents during the deployment."
"It can be overwhelming for new people as it has a lot of features."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"Their security features could be improved. We looked at their Security Monitoring feature but it was early in its development. Datadog are just getting into the security space so I'm sure this will improve in the future."
"The performance, especially when were drilling into metrics we've been running for a year and a half. When you're launching old data it can get slow."
"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-"
"There should be some user groups and an auto sign-in feature.​"
"Graylog can improve the index rotation as it's quite a complex solution."
"There are many other applications in the market that influenced my rating reduction."
"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."
"I wouldn't recommend the enterprise version, but as an open source solution, it is solid and works really well."
"More customization is always useful."
"The technical support is a weak point in this product. It's not so easy to contact them and they don't answer immediately."
 

Pricing and Cost Advice

"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"It didn't scale well from the cost perspective. We had a custom package deal."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"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."
"Licensing is based on the retention period of logs and metrics."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"The tool is open-source."
"​You get a lot out-of-the-box with the non-enterprise version, so give it a try first."
"We are using the free version of the product. However, the paid version is expensive."
"I use the free version of Graylog."
"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."
"Having paid official support is wise for projects."
"It's an open-source solution that can be used free of charge."
"We're using the Community edition."
"Consider Enterprise support if you have atypical needs or setup requirements.​"
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
6%
Computer Software Company
12%
Comms Service Provider
11%
University
8%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise49
Large Enterprise100
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise5
Large Enterprise11
 

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...
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...
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 ...
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...
 

Comparisons

 

Also Known As

No data available
Graylog2
 

Overview

 

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
Find out what your peers are saying about Datadog vs. Graylog Enterprise and other solutions. Updated: August 2026.
909,153 professionals have used our research since 2012.