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Datadog vs Grafana Enterprise Stack comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 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 IT Infrastructure Monitoring
2nd
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), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (6th), AI Observability (1st)
Grafana Enterprise Stack
Ranking in IT Infrastructure Monitoring
20th
Average Rating
8.4
Reviews Sentiment
6.1
Number of Reviews
14
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the IT Infrastructure Monitoring category, the mindshare of Datadog is 3.7%, down from 5.4% compared to the previous year. The mindshare of Grafana Enterprise Stack is 0.8%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
IT Infrastructure Monitoring Mindshare Distribution
ProductMindshare (%)
Datadog3.7%
Grafana Enterprise Stack0.8%
Other95.5%
IT Infrastructure Monitoring
 

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.
RM
Test Lead at Calpine Group
Efficient monitoring and alerting enhance operational insights
With Grafana Enterprise Stack, we can identify issues that New Relic cannot help with. While New Relic requires purchase and supports frontend and backend components, Grafana Enterprise Stack helps identify where issues are occurring. When we need to deep dive into issues, we use New Relic to trace transactions and determine where maximum impact occurs, whether in core size, DB side, or frontend components that slow performance. We first evaluate with Grafana Enterprise Stack, then move to New Relic if we identify performance degradation, such as DB queries taking too much time. Grafana Enterprise Stack responds to queries within 6 to 12 hours. They contact users through email immediately when available. Similarly, New Relic follows the same pattern, responding immediately when requests are raised and resolving issues promptly.

Quotes from Members

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

Pros

"Datadog has helped my organization improve a lot of response time because we get alerts the minute it happens, which is our only means to reduce incident response time."
"The installation step is pretty straightforward."
"It helps us better manage our logs."
"The most valuable aspect of the solution is the APM."
"Datadog solves all of these issues."
"This solution has improved our organization by giving us deeper insight into what's running in our clusters and their performance of it."
"The initial setup is very straightforward."
"The service catalog helped improve our organization by giving a good view of the flow for our microservices applications."
"The most valuable features of Grafana for data visualization are its ability to create intuitive dashboards and its wide range of visualization options like graphs, charts, and tables."
"The most valuable feature of Grafana Enterprise Stack is the dashboards."
"It is very easy to deploy and integrate with any application or infrastructure layer."
"Our productivity has improved with its use."
"Grafana's most valuable feature is its ability to provide a graphical representation of data collected from various sources."
"The tool's most valuable feature is real-time monitoring. It helps in securing the application or the node by allowing us to monitor and manage resource consumption during peak times. For instance, from 10 AM to 2 PM, we may experience high memory utilization. It helps us to solve these issues."
"The most valuable features for us are dashboards; we can dashboard anything that we can think of, we can dashboard and measure."
"Grafana Enterprise Stack is a powerful open-source platform with robust capabilities in data visualizations, dashboard creations, and alerting."
 

Cons

"Their security features could be improved."
"More helpful log search keywords/tips would be helpful in improving Datadog's log dashboard."
"We need a lot of modules since we collect all data logs from all operating systems."
"Datadog's roadmap can be a bit unpredictable at times."
"Network device and performance monitoring could be improved, as we've faced some limitations in this area."
"They could have better log reporting."
"I would like testing for data in the future."
"In some ways, the tool has a pretty steep learning curve. Discovering the various capabilities available, then learning how to utilize them for particular use cases can be challenging."
"I believe there are some areas for improvement in the product. Something that could be better is the time series functionality."
"I have encountered occasional issues with false inputs or incorrect data in Grafana."
"Grafana Enterprise Stack is complex and not easy or simple."
"They could use more small tutorials to explain a bit about how Grafana works."
"Integrating AI capabilities for automated self-healing and reduced manual interventions would be valuable."
"The tool needs to show only fewer updates."
"I find Grafana really hard to configure. It's difficult to build the dashboard, and it's non-intuitive. In my opinion, it's very difficult to work with Grafana."
"The layout is good, but I think it needs some enhancement based on my experience."
 

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."
"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."
"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."
"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."
"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 of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"This solution is budget friendly."
"I use the tool's free license."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
7%
Energy/Utilities Company
17%
Financial Services Firm
13%
Manufacturing Company
10%
Computer Software Company
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 Business6
Midsize Enterprise1
Large Enterprise7
 

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 needs improvement with Grafana Enterprise Stack?
I am trying to think about its advanced alerting features; we do not use it too much for that. We do get it to report through to our help desk system and if a threshold gets broken, then a ticket i...
What is your primary use case for Grafana Enterprise Stack?
I have switched to a different suite, focusing on customer edge solutions that are mostly Fortinet. To manage it, I use Grafana Enterprise Stack and a whole bunch of tools that we wrote ourselves. ...
What advice do you have for others considering Grafana Enterprise Stack?
We use Grafana Enterprise Stack in all of our clients. I rate this product an eight out of ten.
 

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
1. Uber 2. PayPal 3. eBay 4. Sony 5. Red Hat 6. IBM 7. Cisco 8. Adobe 9. Expedia 10. Booking.com 11. Airbnb 12. LinkedIn 13. Twitter 14. Netflix 15. Spotify 16. Pinterest 17. Slack 18. GitLab 19. Docker 20. Atlassian 21. Salesforce 22. Microsoft 23. Google 24. Amazon 25. Facebook 26. Apple 27. Intel 28. Oracle 29. SAP 30. VMware 31. HP 32. Dell
Find out what your peers are saying about Datadog vs. Grafana Enterprise Stack and other solutions. Updated: August 2026.
909,948 professionals have used our research since 2012.