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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

"We are loving the tool; it is great to have all those insights in one place."
"Watchdog is a favorite feature among a lot of the devs. It catches things they didn't even know were an issue."
"The integration into AWS is key as well as our software is currently bound to AWS."
"Overall, the Data UI and the usability of customer features continue to improve."
"The installation step is pretty straightforward."
"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."
"It is exceptionally helpful for making our engineering more data-driven."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"I like the correlation and the alerting."
"Storing logs in Elasticsearch means log retrieval is extremely fast, and full text search is available by default."
"The product is scalable. The solution is stable."
"Graylog is very handy."
"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."
"Troubleshooting is straightforward with Graylog Enterprise."
"Message forwarding through the in-built module."
"With Graylog Enterprise, monitoring improved by up to 80 percent because of having all the logs centralized."
 

Cons

"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"The pricing model seems to escalate quickly with increasing metrics ingestion and monitoring across clouds."
"The monitors can be improved."
"I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome."
"It is too early to say whether we are getting our money's worth, but we have felt the difference in terms of optimization and user experience."
"Datadog could be improved if the menu system was a little clearer and less cluttered, making it easier to navigate."
"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."
"The support in Latin America is a point that I would mark as a point to improve."
"Dashboards, stream alerts and parsing could be improved."
"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 needs to improve their authentication. Also, the fact that Graylog displays logs from the top down is just ridiculous."
"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 documentation for Graylog Enterprise can be improved, as this has been a pain point."
"The support from the Graylog community is helpful, but they can do better."
"The problem was with the complexity and the cost to add extensions."
 

Pricing and Cost Advice

"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."
"The price is better than some competing products."
"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."
"​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"The cost is high and this can be justified if the scale of the environment is big."
"They prefer monthly subscriptions."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"​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."
"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."
"Consider Enterprise support if you have atypical needs or setup requirements.​"
"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."
"Having paid official support is wise for projects."
"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."
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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: June 2026.
908,834 professionals have used our research since 2012.