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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
209
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (1st), 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 March 2026, in the Log Management category, the mindshare of Datadog is 4.4%, down from 6.2% compared to the previous year. The mindshare of Graylog Enterprise is 4.1%, down from 6.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Datadog4.4%
Graylog Enterprise4.1%
Other91.5%
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 ability to easily drill down into log queries quickly and efficiently has helped us to resolve several critical incidents."
"Datadog has positively impacted my organization by allowing us to gather complete data instead of looking all over the place at incomplete data and actually make pointed determinations for fixing issues."
"The most valuable feature of Datadog is its logs."
"Our primary alerts, based on metrics and synthetic transactions, are the most used and relied upon for decreased MTTA/MTTR across all of our platforms. This is followed by deep log analysis that enables us to quickly and easily get to a preliminary root cause that someone on the infrastructure, platform or development teams can take and focus their attention on the precise target that Datadog revealed as the issue to be remediated."
"Datadog has flexibility."
"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 integration into AWS is key as well as our software is currently bound to AWS."
"The visibility into our network has allowed for quick diagnosis of failures, identification of underutilized or over-utilized resources, and allowed for cloud cost optimization opportunities."
"It has data adapters and lookup tables that utilize HTTP calls to APIs."
"We run a containerized microservices environment. Being able to set up streams and search for errors and anomalies across hundreds of containers is why a log aggregation platform like Graylog is valuable to us."
"Graylog is valuable because it bridges technical knowledge to non-technical teams, presenting complex backend processes in a simple timeline."
"I am very proud of how very stable the solution is."
"Real-time UDP/GELF logging and full text-based searching."
"The product is scalable. The solution is stable."
"One of the most valuable features is that you are able to do a very detailed search through the log messages in the overview."
"Open source and user friendly."
 

Cons

"Additional metrics should be included."
"I would love to see more metrics or analytics in IoT devices."
"The on-premise version is very difficult to upgrade."
"We need more integration functionality, including certain metrics integration."
"The ease of implementation needs improvement."
"It lacks consistency in the APIs."
"Datadog could always lower the price!"
"Datadog probably didn't save me a ton of time because there are so many replay videos that I had to sort through in order to find the particular sales reps that I'm looking for for our beta test group."
"There are many other applications in the market that influenced my rating reduction."
"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-"
"The biggest problem is the collector application, as we wanted to avoid using Graylog Collector Sidecar due to its architecture."
"The infrastructure cost is the main issue. I like the rest. If the infrastructure costs could be lower, it would be fantastic."
"It would be great if Graylog could provide a better Python package in order to make it easier to use for the Python community."
"More complex visualizations and the ability to execute custom Elasticsearch queries would be great."
"I would like to see a default dashboard widget that shows the topology of the clusters defined for the graylog install."
"The area in Graylog that needs to be improved or enhanced would be the integrations."
 

Pricing and Cost Advice

"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."
"It has a module-based pricing model."
"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 costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"While it is an expensive product, I would rate the pricing level at four out of five."
"They prefer monthly subscriptions."
"Licensing is based on the retention period of logs and metrics."
"The price is better than some competing products."
"We're using the Community edition."
"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."
"It's an open-source solution that can be used free of charge."
"Consider Enterprise support if you have atypical needs or setup requirements.​"
"​You get a lot out-of-the-box with the non-enterprise version, so give it a try first."
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
10%
Manufacturing Company
8%
Healthcare Company
6%
Computer Software Company
13%
Comms Service Provider
11%
University
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business81
Midsize Enterprise46
Large Enterprise99
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...
 

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: March 2026.
884,873 professionals have used our research since 2012.