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Datadog vs Grafana 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:
 

ROI

Sentiment score
6.4
Datadog improves efficiency by reducing response time, optimizing resources, enhancing reliability, and saving costs through better infrastructure monitoring.
Sentiment score
5.4
Organizations using Grafana achieved up to 250% ROI, reduced costs, and improved monitoring and response times significantly.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
IT Manager at Liberty Mutual Insurance
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
Sr. Cloud Infrastructure Engineer at a tech vendor with 51-200 employees
We have also seen fewer escalations for minor issues because alerts help us catch problems earlier, which indirectly reduces downtime and improves overall efficiency.
Network Security Consultant at NTT DATA
I can say the estimated return on investment was one hundred fifty percent to two hundred fifty percent within the first year due to the reduced downtime and faster troubleshooting.
Devops Engineer at AIQOD
I identified over-provisioned servers and reduced my AWS monthly bill by 15%, which is a significant saving in terms of costs.
System engineer at a retailer with 10,001+ employees
 

Customer Service

Sentiment score
6.7
Datadog's customer service is generally reliable and efficient, with recent improvements noted, despite occasional delays and communication issues.
Sentiment score
7.2
Grafana's support receives mixed feedback, with praise for both its responsive technical team and effective community resources.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Applications Web Services Technical Engineer at Ace Hardware
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
Systems Administrator at Townsquare Interactive
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.
Security Engineer at Invitation Homes
The technical support team is very helpful with complex PromQL troubleshooting.
System engineer at a retailer with 10,001+ employees
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.
Sr. DevOps at a tech vendor with 1,001-5,000 employees
The documentation is comprehensive, and the active community makes it easy to find solutions to common issues.
Devops Engineer at AIQOD
 

Scalability Issues

Sentiment score
7.5
Datadog excels in scalable performance and integration but requires careful ingestion cost management as environments grow.
Sentiment score
5.5
Grafana scales effectively with integrations, but some users find complexity and scaling costs challenging for extensive environments.
Datadog's scalability has been great as it has been able to grow with our needs.
IT Manager at Liberty Mutual Insurance
Since it is a SaaS platform, we did not have to worry about backend scaling.
Network Security Consultant at NTT DATA
We have not faced any major performance issues from the platform side; it handles increased metrics and monitoring loads smoothly.
Cyber Security Consultant at HR Software Solution
It is highly scalable and built on a big data architecture capable of ingesting trillions of data points.
System engineer at a retailer with 10,001+ employees
In terms of our company, the infrastructure is using two availability zones in AWS.
DevOps Team Lead at Kadabra
In assessing Grafana's scalability, we started noticing logs missing or metrics not syncing in time.
Sr. DevOps at a tech vendor with 1,001-5,000 employees
 

Stability Issues

Sentiment score
8.0
Datadog is praised for stability and reliability, with rare, quickly-resolved issues, especially during peak traffic periods.
Sentiment score
7.9
Grafana is stable and reliable with minimal downtime, though resource optimization is key to maintaining performance and integration issues may occur.
Metrics collection and alerting have been consistent in day-to-day use.
Cyber Security Consultant at HR Software Solution
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Security Engineer at Invitation Homes
Datadog seems stable in my experience without any downtime or reliability issues.
Full Stack Developer at Townsquare Interactive
Stable in the sense that we have experienced minimal downtime, and it performs reliably for day-to-day monitoring and dashboard visualization.
Devops Engineer at AIQOD
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.
DevOps Team Lead at Kadabra
Once you get to a higher load, you need to re-evaluate your architecture and put that into account.
Sr. DevOps at a tech vendor with 1,001-5,000 employees
 

Room For Improvement

Datadog needs better alert management, cost control, data representation, API consistency, integration, security, automation, navigation, and educational resources.
Grafana's usability suffers from complex UI, limited reporting, and integration challenges; enhancements in security, AI, and flexibility are needed.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
Operations Manager at a financial services firm with 1,001-5,000 employees
We want to be able to customize the cost part, and we would appreciate more granular access control.
Service Manager at PwC
Having more transparent and granular cost control features would make it easier to manage usage.
Network Security Consultant at NTT DATA
It would be better if they made the technology easy to use without needing to read extensive documentation.
AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)
Grafana cannot be easily embedded into certain applications and offers limited customization options for graphs.
BI and Analytics Engineer at Sandvine Inc
I would want to see improvements, especially in the tracing part, where following different requests between different services could be more powerful.
Director of Engineering at a insurance company with 10,001+ employees
 

Setup Cost

Datadog offers scalable, usage-based pricing but requires careful monitoring to manage escalating costs and optimize feature utilization.
Grafana's open-source is cost-effective, but enterprise edition pricing varies by usage and infrastructure, with cloud options available.
The setup cost for Datadog is more than $100.
Senior Performance and Architecture Analyst at a manufacturing company with 10,001+ employees
Pricing is mainly based on data ingestion, such as logs, metrics, and traces, and it can increase quickly if everything is enabled by default.
Cyber Security Consultant at HR Software Solution
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.
Applications Web Services Technical Engineer at Ace Hardware
There were no licensing costs.
Devops Engineer at AIQOD
In an enterprise setting, pricing is reasonable, as many customers use it.
Aplication Architect at Amazon
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.
DevOps Team Lead at Kadabra
 

Valuable Features

Datadog enhances operational efficiency with unified visibility, integration, customizable dashboards, and comprehensive monitoring across cloud platforms.
Grafana offers user-friendly dashboards, customizable visualizations, seamless integrations, effective alerts, scalability, and community support for enhanced monitoring.
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.
Senior Software Engineer at Los Angeles Times Communications, LLC
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.
Senior Site Reliability Engineer at a wholesaler/distributor with 5,001-10,000 employees
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.
Security Engineer at Invitation Homes
Users can monitor metrics with greater ease, and the tool aids in quickly identifying issues by providing a visual representation of data.
Aplication Architect at Amazon
The fact that I can join data from my SQL database with metrics from Prometheus in the same table is a feature I have not found performed as well elsewhere.
System engineer at a retailer with 10,001+ employees
You can check those metrics in the incident management tool by filtering the alert source as Grafana, and it helps in reducing production incidents because you can acknowledge and visualize the metrics from Grafana on time.
Senior Site Reliability Engineer at a tech vendor with 501-1,000 employees
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
Grafana
Ranking in Application Performance Monitoring (APM) and Observability
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
50
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.4%, down from 9.0% compared to the previous year. The mindshare of Grafana is 2.6%, down from 6.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.4%
Grafana2.6%
Other93.0%
Application Performance Monitoring (APM) and Observability
 

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.
Vitthal Gole - PeerSpot reviewer
Devops Engineer at AIQOD
Proactive monitoring has transformed how our teams detect issues and resolve incidents faster
For improving Grafana, the alert configuration could be more intuitive for new users. Dashboard management becomes complex in large environments. So if we have multiple environments and we have to manage our dashboards for them, sometimes it becomes complicated to manage all the dashboards. The learning curve is steep for beginners. More built-in reporting and analytics features would be helpful. Documentation for advanced features could be more detailed. Role-based access management could be simpler to configure. Performance could be optimized for very large dashboards with high cardinality data sources. Grafana could improve its alert configuration workflow and make advanced dashboard management easier for new users. More built-in reporting features would also be beneficial. A simpler onboarding experience for first-time users and more built-in dashboard templates for common monitoring scenarios would be helpful. Grafana is a powerful monitoring platform, but it could improve dashboard organization in large environments, simplify alert management, provide more built-in reporting capabilities, enhance plugin compatibility during upgrades, and offer better AI-driven insights for fast root cause analysis. For example, if we are hitting a CPU metric of ninety to ninety-five percent or a system load of seventy to eighty percent, we have to act on that. But if Grafana suggests something on that metric, such as an AI suggestion, it would be more helpful. We could get an idea of how to solve that issue. For the Grafana dashboards, they could provide more built-in compliance and audit reporting, enhance AI recommendations with clearer explanations of why an issue was flagged, enhance accessibility and keyboard navigation, add more native integrations with emerging cloud and DevOps tools, and improve scalability for very large enterprise deployments. Grafana is a mature platform, but it could benefit from better dashboard version control, simpler environment migration, enhanced AI explanations, more built-in reporting, and improved performance for large-scale deployments with complex dashboards.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
6%
Financial Services Firm
17%
Manufacturing Company
9%
Computer Software Company
9%
Comms Service Provider
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 Business14
Midsize Enterprise10
Large Enterprise27
 

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 Grafana?
My experience with pricing, setup cost, and licensing is that it is very reasonable and has excellent community support.
What needs improvement with Grafana?
Currently, I do not think that any improvement is required, but there are multiple use cases.
What is your primary use case for Grafana?
My main use case for Grafana is to create and design dashboards based on the metrics provided by different exporters via Prometheus. We have different exporters, and we are creating different dashb...
 

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: August 2026.
908,834 professionals have used our research since 2012.