Datadog Reviews

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

Vendor: Datadog

4.3 out of 5

188 reviews
97% willing to recommend

2,770 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 #8 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 46% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 39% of all views.

Helped 832,138 peers since 2012

Featured 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 February 2025, the mindshare of Datadog in the Cloud Monitoring Software category stands at 11.4%, down from 13.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Cloud Monitoring Software

PeerAnalyst reports

Type	Title	Date
Category	Cloud Monitoring Software	Feb 1, 2025	Download
Product	Reviews, tips, and advice from real users	Feb 1, 2025	Download
Comparison	Datadog vs Zabbix	Feb 1, 2025	Download
Comparison	Datadog vs Auvik Network Management (ANM)	Feb 1, 2025	Download
Comparison	Datadog vs Azure Monitor	Feb 1, 2025	Download

Title	Rating	Mindshare	Recommending
Zabbix	4.2	15.2%	95%	105 interviews Add to research
New Relic	4.2	7.3%	94%	158 interviews Add to research

Valuable Features

Key features of Datadog include sharable dashboards, intuitive interface, and robust integrations with platforms like AWS, Docker, Slack. Custom metrics, seamless automation, and anomaly detection enhance versatility. Users appreciate real-time monitoring, log management, and alert systems, making troubleshooting efficient. Extensive visualization tools enable root cause analysis across systems. With simplified setup and consistent UI, Datadog provides unified monitoring for infrastructure, applications, and user behavior, ensuring proactive issue resolution and performance 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

Users mention that Datadog's performance, especially with older metrics, can be slow. There is limited granular control over dashboard sharing, and users seek more integration with other services. The pricing model is considered high and complex. Users find the documentation could be improved for better guidance, and they desire more intuitive user interfaces. Error traceability, notification systems, and advanced alerting capabilities also need enhancement. Improved machine learning features and a clearer observation of expenses are also requested.

"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

Organizations using Datadog experience high returns in tracking underutilized instances, reducing servers, and minimizing downtime. They report significant time savings for development teams in debugging and managing performance. Datadog allows easier visualization of performance trends and integrates efficiently with other tools. Many note the cost is offset by productivity gains. Some organizations highlight the lack of network monitoring as a drawback, requiring additional tools. Overall, users see Datadog as improving efficiency and reducing blind spots.

Pricing

Datadog's pricing for enterprise buyers varies widely based on organization size and usage, with some users finding it reasonable and others expressing dissatisfaction due to complexity and unexpected costs. Licensing involves a pay-as-you-use model and monthly subscriptions, with custom metrics and log ingestion potentially increasing expenses. New features can seem pricey. The setup is user-friendly, but understanding the pricing model is crucial to avoid overages. Negotiation is advised for better rates, and caution should be exercised with data monitoring to manage costs.

"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 primarily used for cloud application monitoring, infrastructure performance, and log aggregation. It caters to AWS and Azure environments, providing real-time insights, dashboards, alerting, and troubleshooting capabilities. Users leverage it for application performance monitoring, real user monitoring, and synthetic testing, improving observability and proactive issue resolution. Datadog's integration capabilities support multi-cloud architectures and microservices, facilitating resource tracking, latency analysis, and security event management. It supports teams in optimizing operations and enhancing system reliability.

Service and Support

Datadog's support team is highly responsive and knowledgeable, providing timely assistance. Customers report proactive support with metric configuration and rapid responses. Occasionally, interactions with technical support vary, with some users experiencing delays or insufficient training. Customer service is praised for its timeliness and helpfulness in addressing queries. Some users highlight the necessity for improved availability and faster response times. Overall, despite occasional challenges, many find support helpful and professional in navigating issues.

Deployment

Users find Datadog's initial setup generally straightforward and accessible, aided by clear documentation and support. Many appreciate quick deployment across environments, benefiting from extensive integrations, especially with AWS. While some find advanced configurations challenging due to documentation expectations, most agree the process requires minimal resources. Occasionally, specific setups like Kubernetes APM or complex environments pose difficulties, but Datadog's assistance helps mitigate these issues, allowing for efficient implementation of their monitoring capabilities.

Scalability

Datadog is praised for its scalability, effortlessly handling increased workloads and large amounts of data. Many users appreciate its cloud-native features and proactive support. Some comment on its ease of implementation at scale and note that costs can rise quickly if not managed properly. Organizations have experienced reliable scaling across numerous servers and instances without performance issues. The ability to integrate well with other cloud services contributes to its scalability success.

Stability

Users report that Datadog offers sound stability with occasional minor hiccups, which are addressed promptly. Stability issues are rare and usually resolved swiftly. Users appreciate Datadog's reliability during peak traffic, noting minimal disruptions. Past stability concerns have been resolved, with an emphasis on consistent performance. Some users have experienced delays during maintenance, but Datadog generally maintains robust uptime and reliability. Stability improvements over time have made Datadog dependable for various 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

By visitors reading reviews

Top industries

By visitors reading reviews

Educational Organization

39%

Computer Software Company

10%

Financial Services Firm

10%

Manufacturing Company

Retailer

Healthcare Company

Government

Insurance Company

University

Media Company

Comms Service Provider

Energy/Utilities Company

Real Estate/Law Firm

Construction Company

Hospitality Company

Non Profit

Legal Firm

Wholesaler/Distributor

Transportation Company

Recreational Facilities/Services Company

Pharma/Biotech Company

Outsourcing Company

Consumer Goods 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