Datadog Reviews

Name: Datadog
Brand: Datadog
Rating: 4.3 (203 reviews)

4.3 out of 5

203 reviews
97% willing to recommend

What is Datadog?

Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.

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Datadog is the #1 ranked solution in APM tools, #1 ranked solution in top AIOps solutions, #2 ranked solution in top Container Monitoring solutions, #2 ranked solution in top Cloud Monitoring Software, #3 ranked solution in Infrastructure Monitoring tools, #4 ranked solution in best Network Monitoring Tools, #4 ranked solution in Log Management Software, and #6 ranked solution in top Cloud Security Posture Management (CSPM) solutions. PeerSpot users give Datadog an average rating of 8.6 out of 10. Datadog is most commonly compared to Wazuh: Datadog vs Wazuh. Datadog is popular among the large enterprise segment, accounting for 61% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 15% of all views.

Helped 871,358 peers since 2012

Featured Datadog reviews

Prakash Pandey

IT Manager at Liberty Mutual Insurance

The best feature that Datadog offers is infrastructure monitoring, where it can look at the CPU utilization, different process utilization, all the processes which are running, and alert us in advance if things are going beyond normal threshold. I think everything about the features of Datadog is amazing. Datadog provides details up to the transactions. We can look at the transaction log too for the application, which is really helpful. Datadog has impacted our organization positively since we were previously using AppDynamics and then we switched to Datadog. It has improved a lot in our alerting and monitoring in the infrastructure space and application space. We can monitor business transactions and take proactive action. It is really great to take actions on the issues before an end user reports it, which is a great advantage for us.

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Thomas Harrison

Systems Administrator at Townsquare Interactive

The only improvement I would to see with Datadog is that the graphical user interface sometimes takes a little bit to load, especially when diving deep on a subject, and just a little bit more caching would help. The largest pain point we've had with Datadog to this point was onboarding. This was partly our fault because our logs weren't really set up to be used in a modern observability platform Datadog, but I definitely would have liked to have seen more comprehensive onboarding. We had a few appointments, but the more help we get up front, the easier it is for us to get more familiar and do more things with Datadog. At this time, I do not think there are any other improvements Datadog needs that would make my experience even better.

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Daniel Dolan

Full Stack Developer at Townsquare Interactive

Some templates for certain roles and things that users care about could be auto-suggested for a dashboard or alerting in Datadog. We had limitations around RUM and our feature flag provider in Datadog because it's a back-end forward feature flag usage in our Next.js application. We had trouble hooking up our feature flags due to RUM being client-side only. This issue arose because Next.js is a front-end and back-end focused application, and it would be beneficial to send the feature flag resolution from the back-end if needed. Our feature flag provider is GrowthBook, and the way we would have to get those feature flags into Datadog was time-consuming with a lot of boilerplate. We would have to mimic feature flag resolution on the client side, so we decided to forego that.

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Datadog mindshare

Product category:

As of October 2025, the mindshare of Datadog in the Cloud Monitoring Software category stands at 8.5%, down from 12.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Cloud Monitoring Software Market Share Distribution
Product	Market Share (%)
Datadog	8.5%
Zabbix	15.4%
Checkmk	5.4%
Other	70.7%

Cloud Monitoring Software

PeerResearch reports based on Datadog reviews

Type	Title	Date
Category	Cloud Monitoring Software	Oct 20, 2025	Download
Product	Reviews, tips, and advice from real users	Oct 20, 2025	Download
Comparison	Datadog vs Zabbix	Oct 20, 2025	Download
Comparison	Datadog vs Azure Monitor	Oct 20, 2025	Download
Comparison	Datadog vs Auvik Network Management (ANM)	Oct 20, 2025	Download

Title	Rating	Mindshare	Recommending
Wazuh	3.7	N/A	80%	49 interviews Add to research
Wiz	4.5	N/A	96%	26 interviews Add to research

Valuable Features

Datadog's value lies in its user-friendly dashboards, real-time monitoring, custom metrics, integrations, and advanced alerting capabilities. Users appreciate the ability to visualize key metrics, set up anomaly alerts, and leverage comprehensive logging and APM features. The flexibility to create and customize dashboards and integration options with platforms like AWS and Slack enhances its utility. Advanced security features and infrastructure monitoring facilitate quick issue identification and problem-solving, promoting efficient operations and enhanced user satisfaction.

"Our teams use Datadog more than they used their old observability tool—they're more production-aware, conscious of how their changes are impacting customers, how the changes they make to their application speed up or slow down their app, and the overall request flow."
"Datadog has impacted our organization positively in a major way because not even just as a QA engineer having access to the real-time replay, but just as a team, all of us being able to access this data and see what parts of our system are causing the most errors or resulting in the most frustration with users."
"Datadog has impacted my organization positively as this is our main observability tool when it comes to monitoring services, traces, and all resources within key services."

Room for Improvement

Datadog users express concerns about its interface complexity, which can be overwhelming, making onboarding challenging. The pricing model is often considered confusing and expensive, and users desire more cost control and insights. Integration with third-party tools and support for databases and security could be enhanced. Improved performance when handling large datasets and a more intuitive, flexible UI are requested. Users also want better documentation and more advanced alerting and testing features.

"Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work."
"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."
"In my experience, Datadog is stable, though there's typically at least one or two incidents per week."

ROI

Many users experienced Datadog as a valuable investment, citing significant time savings for developers, improved infrastructure monitoring, and reduced downtime. Several companies highlighted enhanced visibility, faster incident response, and engineering efficiencies. Despite some hesitations on quantifying returns, many reported high ROI through cost optimization and increased team productivity. While not all organizations track returns, many noticed savings in infrastructure and staffing, indicating measurable returns for those using Datadog extensively.

Pricing

Enterprise users find Datadog's pricing reasonable yet potentially expensive depending on usage and additional features. While some appreciate its pay-as-you-go model and flexibility, others note hidden costs, particularly around logs and metrics, suggesting careful monitoring to control expenses. The free trial aids initial evaluation, but real-world costs can rise unpredictably, making detailed cost management essential. The licensing process is generally smooth, yet a more transparent pricing structure could enhance user satisfaction.

"The tool is open-source."
"The solution's pricing depends on project volume."
"Licensing is based on the retention period of logs and metrics."

Popular Use Cases

Datadog is used for monitoring applications, infrastructure, and cloud environments. Organizations leverage it for log aggregation, performance tracing, custom metrics, alerting, and user monitoring. It supports integrations with AWS, Azure, and other services, providing real-time insights, dashboards, and alerts. Users monitor Kubernetes, containers, and VMs, ensuring availability and performance across systems. Datadog is essential for troubleshooting, performance optimization, and maintaining high availability in diverse environments.

Service and Support

Datadog's customer service is praised for its quick and knowledgeable responses, often providing immediate assistance. Their technical support is described as mostly effective and proactive, although some users report occasional delays or inconsistent experiences. The availability of helpful documentation and a responsive support team helps users navigate challenges efficiently. While support is generally reliable, some users experience slow response times, requiring better communication, especially for complex issues or in specific regions.

Deployment

Datadog's initial setup is generally considered straightforward due to its excellent documentation and support. Many users find it simple to install and integrate, appreciating the variety of integrations available. However, some note challenges with complex configurations, particularly for larger environments and specific use cases. Despite these challenges, many users find setup easy and effective, with helpful pathways for deeper configuration when needed. The SaaS approach is praised for its ease of access and deployment.

Scalability

Datadog's scalability is well-regarded, effortlessly managing large user bases and varying workloads. It adeptly handles scaling needs for both startups and large enterprises, maintaining performance across diverse environments. Though cost scaling is a concern for some, technical scalability rarely faces scrutiny. Users appreciate its seamless integration with cloud services, enabling effective monitoring as operations grow. Costs require conscious management, but Datadog's capability to support expanding infrastructures is highly valued.

Stability

Datadog has proven to be highly stable with minimal issues. Users rarely report downtime, and any disruptions are addressed quickly. Initial challenges, such as memory limits in Docker containers, have been resolved. While niche-specific and occasional log service issues exist, they don't significantly impact functionality. Users commend its reliability and acknowledge minor delays during peak periods or updates. Stability has improved significantly since early usage, making it a trustworthy choice for monitoring needs.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Datadog Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company Size	Count
Small Business	66
Midsize Enterprise	43
Large Enterprise	78

By reviewers

By visitors reading reviews
Company Size	Count
Small Business	1042
Midsize Enterprise	583
Large Enterprise	2503

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

14%

Manufacturing Company

Retailer

Healthcare Company

Comms Service Provider

Media Company

University

Government

Insurance Company

Educational Organization

Real Estate/Law Firm

Energy/Utilities Company

Outsourcing Company

Non Profit

Construction Company

Performing Arts

Hospitality Company

Wholesaler/Distributor

Consumer Goods Company

Legal Firm

Transportation Company

Recreational Facilities/Services Company

Pharma/Biotech Company

Logistics Company

Aerospace/Defense Firm

Leisure / Travel Company

Compare Datadog with alternative products

Learn more about Datadog

Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.

What are Datadog's Key Features?

Sharable Dashboards: Facilitate collaboration with customizable, intuitive dashboards.
Extensive Integrations: Seamlessly connects with tools like Slack and AWS to support workflows.
APM and RUM: Provides deep insights into application performance and user interactions.
Real-Time Tools: Enables agile responses to system issues with real-time monitoring.
Unified Tagging and Visualization: Eases management of complex systems with simplified visualization.

What Benefits and ROI Should Users Look For?

Efficient Troubleshooting: Centralized logging speeds up the identification and resolution of issues.
Streamlined Workflows: Integrations with popular tools enhance operational efficiency.
Improved Observability: Comprehensive monitoring improves system reliability and performance.
Resource Optimization: Efficient microservices and container management leads to better cloud resource utilization.
Responsive Alerts: Customizable alerts ensure timely identification of critical issues.

In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.

Datadog 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

Author info	Rating	Review Summary
IT Manager at Liberty Mutual Insurance	4.5	I've used Datadog for three years to monitor infrastructure and applications, and it's greatly improved our alerting and issue resolution, though setup was tricky. Its features are powerful, and we've seen substantial ROI through reduced monitoring overhead.
Systems Administrator at Townsquare Interactive	4.5	I've used Datadog primarily for application and log monitoring, and it's greatly improved our debugging and efficiency, though onboarding was a bit challenging. Overall, it's reliable, insightful, and a cost-effective replacement for our previous monitoring tools.
S30334808 Software Engineer II at a wholesaler/distributor with 10,001+ employees	4.0	I use Datadog daily to monitor Grainger.com’s performance, find issues through APM traces and dashboards, and while it's powerful, setup is time-consuming and Watchdog and error reporting need improvement compared to our previous tool, Dynatrace.
Applications Web Services Technical Engineer at Ace Hardware	4.0	I've found Datadog highly effective for real-time application monitoring, offering valuable insights and support, though initial setup and training could improve; it's enhanced our system visibility significantly and replaced some legacy monitoring tools.
Sr. Cloud Infrastructure Engineer at a tech vendor with 51-200 employees	4.0	Datadog improves our observability with strong monitoring, APM, and logging features, though costs rise quickly with scale; it’s stable, scalable, and efficient, but I’d like better cost management tools and more flexible support options.
Full Stack Developer at Townsquare Interactive	4.0	I've mainly used Datadog for its RUM features to monitor app efficiency and user sessions. It's stable and scalable, with excellent support, though integrating feature flags was challenging. Overall, I'd rate it an 8 out of 10.
Security Engineer at Invitation Homes	5.0	I've used Datadog mainly for its security features like Cloud SIEM, and it's been reliable, with a great UI, timely alerts, and solid support, helping improve our response times and onboard new team members quickly.
Senior Product Manager at Redfin Corp	4.0	I use Datadog for monitoring frontend and backend performance, cloud cost management, and service health visualization. It's easy to share insights, but improvement is needed in regional settings, link sharing, query suggestions, and understanding certain metrics.

Datadog Reviews

What is Datadog?

Featured Datadog reviews

Datadog mindshare

PeerResearch reports based on Datadog reviews

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

Top industries

Compare Datadog with alternative products

Learn more about Datadog

Datadog customers

Related questions

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