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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
7.0
Number of Reviews
210
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (4th), 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
5.3
Number of Reviews
25
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Log Management category, the mindshare of Datadog is 4.0%, down from 6.0% compared to the previous year. The mindshare of Graylog Enterprise is 3.1%, down from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Datadog4.0%
Graylog Enterprise3.1%
Other92.9%
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.
NC
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.

Quotes from Members

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

Pros

"The tool's deployment is easy."
"Datadog's visibility and debugging features help me day-to-day; specifically, we had an application that was throwing a bunch of errors causing an issue in our production database, and using Datadog, we were able to immediately isolate the error and plan around it."
"By leveraging AWS's functionality, we have increased our application's security and sped up the deployment process."
"This solution has improved our organization by giving us deeper insight into what's running in our clusters and their performance of it."
"Datadog has positively impacted my organization by helping us make our web portals more efficient, and as we get the agent installed on more devices, it's really provided us visibility that we haven't had in my entire career with Ace Hardware."
"Datadog has flexibility."
"The observability on offer is the most useful aspect of the product."
"Real user monitoring gives us invaluable insights into actual user experiences, helping us prioritize improvements where they matter most."
"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 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."
"I like the correlation and the alerting."
"I know that there are other similar tools available, but I enjoy using Graylog the most."
"Graylog's search functionality, alerting functionality, user management, and dashboards are useful."
"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."
"Feature-wise or from the end user perspective, Graylog is just great."
 

Cons

"I've only been using Datadog for a few months, and at first, it was frankly overwhelming in terms of both the UI and the available capabilities."
"I want to applaud the efforts in making the UI extremely usable and approachable. My suggestion would be to take another look at how the menu structure is put together, however. Even after using the platform mostly every day for months, I still find myself trying to find a service or feature in the menus."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"Datadog is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time."
"It can be overwhelming for new people as it has a lot of features."
"For three to four months, we have been experiencing real-time delays. For example, if we're monitoring incoming traffic, the real-time status should be displayed up to a certain point. However, due to delays or issues with Datadog, the real-time data might only be updated at an earlier time. We are experiencing consistent delays in data updates from Datadog, with the most recent data often being delayed by about an hour. This issue has been ongoing for the past four months."
"Technical support is slow. It takes forever to get responses from the support team."
"The current way accounts are billed could be vastly improved - especially when involving multiple organizations across multiple accounts in combination with reserved commitments."
"The initial setup was really complex because I did it myself."
"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."
"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 complex visualizations and the ability to execute custom Elasticsearch queries would be great."
"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."
"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."
"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."
 

Pricing and Cost Advice

"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."
"It has a module-based pricing model."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"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."
"The tool is open-source."
"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."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"The solution is fairly priced but history and log storage can get costly depending on your needs."
"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."
"I use the free version of Graylog."
"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."
"We're using the Community edition."
"​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."
"If you want something that works and do not have the money for Splunk or QRadar, take Graylog.​​"
"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%
Computer Software Company
9%
Manufacturing Company
8%
Healthcare Company
6%
Computer Software Company
12%
Comms Service Provider
11%
University
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise47
Large Enterprise100
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise5
Large Enterprise10
 

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?
The documentation for Graylog Enterprise can be improved, as this has been a pain point. I think the visualization aspect of Graylog Enterprise can be made more rich, similar to what we have in Gra...
What is your primary use case for Graylog?
I remember using Graylog Enterprise in the past at a software house where we used it for logging. During that time, we were using Graylog Enterprise as a log aggregator, collecting logs from multip...
 

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: April 2026.
893,438 professionals have used our research since 2012.