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Datadog vs Grafana comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 19, 2025

Review summaries and opinions

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

ROI

Sentiment score
6.5
Datadog enhances efficiency by optimizing resources, reducing downtime, and improving incident response, offering significant cost savings and performance benefits.
Sentiment score
4.5
Users and managers find Grafana valuable for cost-effective data visualization, enhancing application and infrastructure insights.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
 

Customer Service

Sentiment score
6.7
Datadog's customer service is praised, though technical support feedback is mixed; expertise and engagement are frequently appreciated.
Sentiment score
6.3
Grafana users appreciate community support and prompt formal assistance, with enterprise users benefiting from knowledgeable representatives and helpful guides.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
My advice for people who are new to Grafana or considering it is to reach out to the community mainly, as that's the primary benefit of Grafana.
I do not use Grafana's support for technical issues because I have found solutions on Stack Overflow and ChatGPT helps me as well.
I very rarely get in touch with technical support as we don't have that option.
 

Scalability Issues

Sentiment score
7.6
Datadog is praised for scalability, easy integration, and reliable performance, but users should monitor costs as usage increases.
Sentiment score
5.1
Grafana is scalable and effective for monitoring, though costs and complexity rise with larger deployments or open-source versions.
Datadog's scalability has been great as it has been able to grow with our needs.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
In terms of our company, the infrastructure is using two availability zones in AWS.
In assessing Grafana's scalability, we started noticing logs missing or metrics not syncing in time.
 

Stability Issues

Sentiment score
8.0
Datadog is praised for its reliability and stability, with occasional minor issues that are quickly resolved.
Sentiment score
7.6
Grafana is highly stable, with most users experiencing smooth operation and minimal issues, rating its reliability very high.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
These incidents are related to log service, indexes, and metric capturing issues.
When something in their dashboard does not work, because it is open source, I am able to find all the relative combinations that people are having, making it much easier for me to fix.
Once you get to a higher load, you need to re-evaluate your architecture and put that into account.
The product has been stable.
 

Room For Improvement

Datadog faces user complaints about performance, pricing, complexity, logging, notifications, integration, AI, cost control, and documentation.
Grafana needs improvements in security, usability, data correlation, integration, and flexibility, with enhanced reporting, machine learning, and user interface.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
It would be better if they made the technology easy to use without needing to read extensive documentation.
Grafana cannot be easily embedded into certain applications and offers limited customization options for graphs.
I would want to see improvements, especially in the tracing part, where following different requests between different services could be more powerful.
 

Setup Cost

Datadog pricing is high yet reasonable; flexible subscriptions are available, but usage-based costs require careful monitoring.
Grafana provides open-source for free and enterprise versions vary in cost based on metrics, plugins, and features.
The setup cost for Datadog is more than $100.
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
My experience with pricing, setup cost, and licensing is that it is really expensive.
In an enterprise setting, pricing is reasonable, as many customers use it.
The costs associated with using Grafana are somewhere in the ten thousands because we are able to control the logs in a more efficient way to reduce it.
 

Valuable Features

Datadog offers unified data monitoring with extensive integrations, simplifying observability, debugging, analytics, and performance tracking across platforms.
Grafana offers intuitive dashboards, strong integration, powerful visualizations, live monitoring, and extensive plugins, making it ideal for development teams.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
Users can monitor metrics with greater ease, and the tool aids in quickly identifying issues by providing a visual representation of data.
Its alerting feature is effective because it allows me to set thresholds to send an email if a certain threshold is met.
It's definitely useful for monitoring, alerting, logs, and analysis.
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
207
Ranking in other categories
Network Monitoring Software (4th), IT Infrastructure Monitoring (3rd), Log Management (4th), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
Grafana
Ranking in Application Performance Monitoring (APM) and Observability
5th
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
47
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 6.6%, down from 10.1% compared to the previous year. The mindshare of Grafana is 4.6%, down from 6.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Datadog6.6%
Grafana4.6%
Other88.8%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
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.
Julian-Lewis - PeerSpot reviewer
Has provided real-time views and integrated insights across diverse data sources
The most valuable feature is Grafana's ability to plug in data or events and monitoring data from any kind of source. The graphing capability is what I use the most. I have made use of Grafana's customizable dashboards and templating features. These features have enhanced my data visualization and analytical processes by enabling me to give real-time views to our end-users of what they're doing or what their service is doing. The historical and trend data allow people to pull up data from Grafana and from whatever source to display it and examine how an environment is being used. I have employed real-time metric visualization capabilities for monitoring and real-time views. These dashboards can also be used as historical views, pulling out more data. The effectiveness of Grafana in delivering real-time notifications through its alerting system is quite good. The widgets are able to highlight errors if they happen in real-time on the dashboard. The alerting functionality is improving. I generally tend to use the monitoring tool for alerting rather than Grafana, but I have had to use Grafana occasionally without any issues.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Retailer
6%
Financial Services Firm
20%
Computer Software Company
14%
Manufacturing Company
9%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise95
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise8
Large Enterprise24
 

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 do you like most about Grafana?
The product's initial setup phase was very easy.
What is your experience regarding pricing and costs for Grafana?
The costs associated with using Grafana are somewhere in the ten thousands because we are able to control the logs in a more efficient way to reduce it. That is pretty much great for us.
What needs improvement with Grafana?
Grafana could be improved through enhancement of graphs and visualizations and providing more integrations. Grafana is going to start working with OpenTelemetry, which would be helpful to have the ...
 

Comparisons

 

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
Microsoft, Adobe, Optum, Sky, Nvidia, Roblox, Wells Fargo, BlackRock, Informatica, Maersk, Daimler Truck, SNCF, Atlassian, DHL, SAP, JPMorgan Chase, Cisco, Citi and many others.
Find out what your peers are saying about Datadog vs. Grafana and other solutions. Updated: September 2025.
872,837 professionals have used our research since 2012.