Datadog Reviews

Name: Datadog
Brand: Datadog
Rating: 4.3 (187 reviews)

Vendor: Datadog

4.3 out of 5

187 reviews
97% willing to recommend

2,381 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 AIOps solutions, #2 ranked solution in Infrastructure Monitoring tools, #2 ranked solution in top Container Monitoring solutions, #2 ranked solution in top Cloud Monitoring Software, #3 ranked solution in Log Management Software, #4 ranked solution in best Network Monitoring Tools, 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 51% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 23% of all views.

Helped 855,080 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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Timothy Spangler

Senior Software Engineer at Los Angeles Times Communications, LLC

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. Bringing new team members up to speed on its abilities can be challenging and sometimes requires too much hand-holding. The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data. This would give them the confidence to navigate the tool and make the most of all it offers.

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Datadog mindshare

Product category:

As of June 2025, the mindshare of Datadog in the Cloud Monitoring Software category stands at 9.7%, down from 13.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Cloud Monitoring Software

PeerResearch reports based on Datadog reviews

Type	Title	Date
Category	Cloud Monitoring Software	Jun 5, 2025	Download
Product	Reviews, tips, and advice from real users	Jun 5, 2025	Download
Comparison	Datadog vs Zabbix	Jun 5, 2025	Download
Comparison	Datadog vs Azure Monitor	Jun 5, 2025	Download
Comparison	Datadog vs Auvik Network Management (ANM)	Jun 5, 2025	Download

Title	Rating	Mindshare	Recommending
Wazuh	3.7	N/A	80%	48 interviews Add to research
Wiz	4.5	N/A	95%	22 interviews Add to research

Valuable Features

Datadog's most valued aspects include its real-time monitoring, intuitive user interface, custom dashboards, integration capabilities, and seamless logging and tracing features. Organizations appreciate Datadog's APM, RUM, synthetic tests, and comprehensive dashboard utility. The monitoring and alert system, along with customizable metrics and extensive integration support, provide invaluable insights into infrastructure and application performance, ensuring higher reliability and efficiency in operations while enabling proactive issue management and optimization.

"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 faces challenges with cost management, needing clearer billing transparency and usage insights. The UI can be overwhelming, and documentation requires enhancements for better user guidance. Users find navigation and customization of queries, dashboards, and alerts cumbersome. Improved integration with external tools and finer security module tuning are desired. AI-driven analytics, automated feature enhancements, scalability support, and pricing model adjustments could significantly benefit users, addressing current pain points and enhancing overall user experience.

"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

Many organizations reported high ROI from Datadog due to time saved and streamlined operations. It helped track underutilized instances and debug live sites, reducing server needs and downtime. Users noted effective monitoring, trend visualization, and integration with tools such as PagerDuty. Some struggled to measure exact ROI or faced limitations in network monitoring. Overall, significant time savings and enhanced performance visibility were common benefits mentioned by users exploring Datadog's capabilities.

Pricing

Datadog pricing for enterprise users is generally considered reasonable yet complex due to its usage-based model. Many users appreciate the flexibility, paying per host, with first five hosts free. Costs can escalate quickly with additional features like logs and APM, stressing the importance of careful monitoring of consumption and resource usage. The licensing and setup costs are typically minimal, but careful planning is advised to avoid unexpected expenses and optimize pricing strategies.

"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

Organizations primarily use Datadog for monitoring cloud applications, infrastructure, and performance. They employ it to track custom metrics, log aggregation, and alerting in AWS and multi-cloud environments. It helps manage microservices, Kubernetes, and serverless architectures. Datadog's integration and dashboards facilitate application performance monitoring, security, and user behavior analysis. It ensures reliability, enhances observability, and aids in optimizing resource use and detecting anomalies across diverse environments and services.

Service and Support

Datadog's customer service is efficient and responsive, delivering timely support even on weekends. Technical support is knowledgeable and proactive, though the response speed varies, with some cases taking longer than desired. Users appreciate the team's willingness to assist but occasionally encounter issues when requiring specialized assistance. There's acknowledgment of improved interaction over time, underscoring Datadog's consistent efforts to enhance user experience and address challenges efficiently.

Deployment

The majority found Datadog's initial setup straightforward and well-documented, appreciating its integration with AWS. Although easier for those familiar with the process, some faced challenges with advanced configurations and specific environments like Kubernetes. While most tasks were simple, complexities arose in custom configurations and agent deployments. Some noted a learning curve with configuration options, particularly for larger setups or when customizing metrics. Overall, users valued Datadog's support during the setup process.

Scalability

Datadog demonstrates impressive scalability, effectively handling varying workloads across different usage levels. Users report smooth scaling for numerous accounts and large data quantities. Despite occasional concerns about cost scaling alongside usage, the platform remains highly adaptable, supporting complex deployment scenarios without performance degradation. Users appreciate its seamless integration with cloud services. While some note potential limitations with expansive data visualization, many emphasize its ease of implementation and consistent performance across expanding infrastructures.

Stability

Datadog exhibits impressive stability, with minimal disruptions or downtime reported. Many users highlight its reliability, with some noting only rare and quickly resolved issues. Occasional hiccups were mentioned during early usage phases or beta periods, yet these have diminished over time. Users appreciate its consistent performance even during peak traffic. While a few minor issues have surfaced, Datadog continues to be a dependable tool for monitoring needs. Its solid infrastructure plays a crucial role in maintaining stability.

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

23%

Computer Software Company

12%

Financial Services Firm

12%

Manufacturing Company

Healthcare Company

Retailer

Government

University

Media Company

Insurance Company

Comms Service Provider

Real Estate/Law Firm

Energy/Utilities Company

Construction Company

Non Profit

Hospitality Company

Legal Firm

Wholesaler/Distributor

Consumer Goods Company

Transportation Company

Recreational Facilities/Services Company

Performing Arts

Pharma/Biotech Company

Outsourcing Company

Logistics Company

Compare Datadog with alternative products

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