Datadog Reviews

Name: Datadog
Brand: Datadog
Rating: 4.3 (188 reviews)

Vendor: Datadog

4.3 out of 5

188 reviews
97% willing to recommend

2,782 followers

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What is Datadog?

Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.

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Datadog is the #1 ranked solution in APM tools, #1 ranked solution in top Cloud Monitoring Software, #1 ranked solution in top AIOps solutions, #2 ranked solution in Infrastructure Monitoring tools, #2 ranked solution in top Container Monitoring solutions, #3 ranked solution in best Network Monitoring Tools, #3 ranked solution in Log Management Software, and #7 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 Zabbix: Datadog vs Zabbix. Datadog is popular among the midsize enterprise segment, accounting for 44% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 37% of all views.

Helped 842,161 peers since 2012

Featured Datadog reviews

Kevin Palmer

DevOps/Security Principal at Raken

Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.

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reviewer820579

Senior Product Manager at Redfin Corp

We've had some issues where we had Datadog automatically turned on in AWS regions that we weren't using, which incurred a small but steady cost that amounted to tens of thousands of dollars spent over a few weeks. I wish there was a global setting that lets an admin restrict which regions DD is turned on in as a default setup step. Sometimes, the APM service dashboard link isn't sharable. I click something in the service catalog, and on that service's APM default view, I try to share a link to that with a teammate, and they reach a blank or error screen. I wish there was more organization and detail in the suggestions when I use the query editor. I'm never quite sure when the autofill dropdown shows up if I'm seeing some custom tag or some default property, so I have to know exactly what I'm looking for in order to build a chart. It's hard to navigate and explore using the query autofill suggestions without knowing exactly what tag to look for. It's been a bit hard to understand how data gets sampled or how many data points a particular dashboard value is using. We've had questions over the RUM metrics that we see and we had to ask for help with how values are calculated, bin sizes, etc to get confidence in our data.

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Jordan Lee

Site Reliability Engineer at Icario

A big problem with Datadog is the billing. They need to make the billing more user-friendly. I know it like the back of my hand at this point, yet trying to explain it to the C-suite as to why costs went up or are what they are is many times more complicated than it needs to be. I can't even say "why" due to of the lack of metadata tied to billing. For instance, with the AWS Integration Host ingestion, I cant say well this month THESE host got added and thats what caused cost to go up. The billing visibility really needs to be resolved!

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Datadog mindshare

Product category:

As of March 2025, the mindshare of Datadog in the Cloud Monitoring Software category stands at 11.0%, down from 13.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Cloud Monitoring Software

PeerAnalyst reports based on Datadog reviews

Type	Title	Date
Category	Cloud Monitoring Software	Mar 24, 2025	Download
Product	Reviews, tips, and advice from real users	Mar 24, 2025	Download
Comparison	Datadog vs Zabbix	Mar 24, 2025	Download
Comparison	Datadog vs Auvik Network Management (ANM)	Mar 24, 2025	Download
Comparison	Datadog vs Azure Monitor	Mar 24, 2025	Download

Title	Rating	Mindshare	Recommending
Zabbix	4.2	15.8%	95%	105 interviews Add to research
New Relic	4.2	6.9%	94%	158 interviews Add to research

Valuable Features

Datadog offers valuable features like customizable dashboards that provide real-time insights and anomaly detection, facilitating efficient troubleshooting. Its extensive integration capabilities with various cloud environments ensure seamless connectivity. Users appreciate easy setup and intuitive UI, enhancing visibility across systems. Features such as APM, infrastructure monitoring, and centralized logging support comprehensive observability, helping organizations optimize operations. The platform's ability to correlate logs, metrics, and traces enhances performance analysis and debugging.

"The technology itself is generally very useful and the interface is great."
"When I reflect on the ways we used to track down issues, I can't imagine how we ever managed before Datadog."
"The solution is stable."

Room for Improvement

Datadog users suggest improvements in areas including UI intuitiveness, cost transparency, integration, and documentation. A streamlined interface could enhance user experience. Cost models and billing explanations need simplification. Users desire better integration with third-party apps and enhanced functionality in logging and monitoring. Documentation requires more examples, while alerts and customizable queries need refinement. Users also mention a desire for features like better mobile app functionality and improved support for cloud and security tools.

"I find the setup cost to be too expensive. The setup cost for Datadog is more than $100. I am evaluating the usage of this solution, however, it is too expensive."
"A tool as powerful as Datadog is, understandably, going to have a bit of a learning curve, especially for new team members who are unfamiliar with the bevy of features it offers."
"There should be a clearer view of the expenses."

ROI

Datadog has delivered considerable value, with companies noting quick identification of underutilized instances and reduced downtime. Employee time was freed up, and server usage decreased. Despite some stating ROI challenges, many highlight significant time savings, improved debugging and performance assessment, and a high return in prevented outages and reduced investigation hours. Other companies appreciate centralized features without needing extra solutions. Overall, many find its return beneficial compared to similar tools like CloudWatch.

Pricing

Datadog pricing varies based on factors like organization size and infrastructure needs. Users find it reasonable, with initial setups taking a couple of days and offering affordable options such as $4 per host monthly. However, some note pricing can be complex and unpredictable, with potential for unexpected increases, especially with additional features. Custom metrics and ingestion pipelines require careful planning to control costs. Alternatives can be less expensive, but Datadog's visibility may justify its pricing.

"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 primarily for monitoring cloud infrastructures and applications, with heavy reliance on AWS and Azure environments. It supports log aggregation, application performance monitoring, and alerting. Many users integrate it with other services like Kubernetes and GitHub for comprehensive observability. The platform's flexible capabilities allow tracking of various metrics, logs, and traces across diverse environments to ensure optimal performance, resource utilization, and issue mitigation. It serves as a centralized hub for observability tools.

Service and Support

Datadog customer service is very good, often responding immediately, even on weekends. Technical support is generally effective, responsive, and knowledgeable. It often provides helpful answers and assistance with configurations. However, some users experience slow response times or need to escalate issues for fast resolution. Support is mostly proactive and timely, facilitating feature-related discussions and efficiently handling setup complexities. Although mostly positive, slight inconsistencies in service quality are occasionally reported.

Deployment

The initial setup of Datadog is generally straightforward and efficient, with many finding the process quick and minimally complex. Users appreciate the comprehensive documentation and robust support, which aids seamless integration, particularly with AWS. While advanced configurations can present challenges, most find the agent installation straightforward for common environments. There may be complexities, especially in larger infrastructures or specific use cases, but overall, Datadog supports easy implementation with various integrations and platforms.

Scalability

Datadog exhibits strong scalability with minimal performance issues across diverse environments. Users report seamless adaptability and easy deployment, handling increasing workloads without hiccups. The service efficiently manages substantial user bases and various instances. However, pricing can escalate significantly, prompting users to monitor costs closely. Most experiences indicate scalability is fluid, although a few mention limitations in specific scenarios. Generally, Datadog's scalable nature supports growing infrastructures effectively and flexibly.

Stability

Datadog is consistently stable with minimal stability issues reported. Users note rare hiccups, typically resolved quickly, and express satisfaction with its reliability. Outages are infrequent and usually addressed efficiently, maintaining uninterrupted operations. Initial stability challenges have decreased over time, and current performance is dependable across various integrations. Users appreciate Datadog's ability to handle significant loads without downtime, affirming its robust infrastructure and reliability.

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

By visitors reading reviews

Top industries

By visitors reading reviews

Educational Organization

37%

Computer Software Company

10%

Financial Services Firm

10%

Manufacturing Company

Retailer

Healthcare Company

Government

Media Company

Insurance Company

University

Comms Service Provider

Energy/Utilities Company

Real Estate/Law Firm

Construction Company

Non Profit

Hospitality Company

Wholesaler/Distributor

Legal Firm

Transportation Company

Consumer Goods Company

Recreational Facilities/Services Company

Pharma/Biotech Company

Outsourcing Company

Performing Arts

Logistics Company

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Learn more about Datadog

Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.

What are the key features of Datadog?

Graphs and Dashboards: Visualizes servers and infrastructure with customizable views.
Metrics: Offers deep insights into system performance and user behavior.
Log Management: Provides powerful analytics for logs and seamless log aggregation.
Unified Tagging: Facilitates organization and retrieval of metrics and logs.
APM and RUM: Enables application performance monitoring and real user monitoring for comprehensive insights.
Synthetic Testing: Allows the simulation of user interactions to test application performance.

What benefits and ROI should users look for in reviews?

System Reliability: Helps ensure uptime and performance across cloud environments.
Proactive Issue Resolution: Assists in identifying and resolving issues before they impact users.
Operational Efficiency: Streamlines monitoring and log management tasks.
Flexible Integrations: Adapts to various cloud services and infrastructure setups.
Real-Time Alerts: Provides timely notifications to address problems swiftly.

Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.

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