Datadog Reviews

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

Vendor: Datadog

4.3 out of 5

187 reviews
96% willing to recommend

2,758 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 Container Monitoring solutions, #1 ranked solution in top Cloud Monitoring Software, #1 ranked solution in top AIOps solutions, #2 ranked solution in best Network Monitoring Tools, #2 ranked solution in Infrastructure Monitoring tools, #3 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. Based on the analysis of the 187 most recent Datadog reviews, the overall sentiment is positive, with a sentiment score of 7.4. 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 816,562 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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John Kvellestad

Works at ExxonMobil

Support for the dedicated SQL pool in database monitoring. However, we have found that certain databases, such as the dedicated SQL pool (formerly Synapse data warehouse), are not supported. This has been a bit of a hang-up for us. Obviously, it is not a feasible solution to change an existing tech stack based on a new monitoring tool, though it is a consideration for future implementations going forward. Ultimately, though, implementing support for the dedicated SQL pool on Azure would be the preferred solution as they are relatively common.

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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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Datadog mindshare

Product category:

As of November 2024, the mindshare of Datadog in the Cloud Monitoring Software category stands at 8.6%, down from 9.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Cloud Monitoring Software

Key learnings from peers

Last updated Nov 21, 2024

Valuable Features

Datadog's most valuable features include its intuitive user interface, extensive integrations, and real-time monitoring capabilities. Users appreciate the seamless dashboard creation, allowing for effective visualization and analysis of key metrics. The APM, RUM, and synthetic testing features provide critical insights into application performance and user experience. Centralized logging and tracking facilitate efficient issue resolution, while the comprehensive monitoring ensures high performance and reliability across cloud infrastructures.

"Datadog infrastructure monitoring has helped us identify health issues with our virtual machines, such as high load, CPU, and disk usage, as well as monitoring uptime and alerting when Kubernetes containers have a bad time staying up."
"Dashboards are the most valuable."
"Synthetic testing is by far the most valuable feature in our organization."

Room for Improvement

Datadog users suggest improvements in query performance, simplified configuration, and better cost transparency. They desire enhanced integration with third-party tools, more intuitive UI, and effective alerting systems. Users also find documentation lacking in clarity and require improved session tracing and monitoring features. Cost is a significant concern, with many calling for a more user-friendly pricing model. Enhanced mobile app capabilities, seamless integrations, and advanced features like predictive analytics and AI-driven insights are also requested.

"We have found that some of the different options for filtering for logs ingestion, APM traces and span ingestion, and RUM sessions vs replay settings can be hard to discover and tough to determine how to adjust and tweak for both optimal performance and monitoring as well as for billing within the console."
"The monitors need improvement."
"One area where the product could be improved is Application Performance Monitoring (APM)."

ROI

Many organizations report Datadog quickly justifies its cost through savings on underutilized resources and developer hours. It enhances visibility into performance trends, minimizes downtime, and streamlines bug assessments. Though some find ROI calculation challenging, many highlight labor and resource savings, faster issue resolution, and reduced blindspots. Datadog effectively replaces additional tools and allegedly offers a high return. Certain users anticipate positive ROI as they continue to integrate Datadog into their operations.

Pricing

Datadog's pricing is considered reasonable but requires careful management to avoid unexpected costs. Enterprise users report that while the platform can be expensive, its value often justifies the price, especially at scale. The pay-as-you-use model necessitates monitoring to prevent overruns, particularly with custom metrics and logs. Many users recommend negotiating rates and closely managing resources to optimize costs. Flexibility and detailed cost analysis are essential for maximizing benefits while maintaining budget control.

"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 environments, applications, and infrastructure. Users utilize it for custom metrics, log aggregation, APM, RUM, and alerts. Many run it on AWS and Azure for observability across microservices and containers, enabling real-time performance monitoring. It aids in error detection, resource optimization, and operational efficiency through dashboards, synthetic tests, and integrations, offering visibility into system performance while streamlining troubleshooting processes.

Service and Support

Datadog's customer service receives high praise for being proactive, knowledgeable, and quick to respond. Technical support varies; while many find technical staff helpful and responsive, others experience delays and inconsistency. Accessibility and speed could improve for some, especially with complex queries. Some users note exceptional experiences involving personalized assistance and extensive support during setup. Despite occasional issues, customer interactions with Datadog’s support are typically positive, providing valuable help in maximizing platform capabilities.

Deployment

Datadog's initial setup is generally straightforward and easy for many. They appreciate that installation is quick, often completed in a few hours or days. While most integrations and configurations are seamless, certain setups, especially involving AWS and .NET Profiling, present challenges. Some find the learning curve and documentation daunting, particularly with complex configurations. Users highlight helpful support and documentation that guide through initial tasks, noting that advanced configurations may require additional effort.

Scalability

Datadog is praised for its scalability, handling varying workloads with ease. Many users indicate it effortlessly supports a broad range of accounts, instances, and services. Customers find it adaptable in different environments without performance issues, although cost management is essential. As a SaaS, it scales efficiently without infrastructure worries. Despite minor limitations in specific functionalities, it remains suitable for extensive data ingestion and cloud services integration, proving effective in supporting growth.

Stability

Datadog exhibits high stability with minimal interruptions. Users report few occurrences of downtime and quick resolution of any issues. Initial deployment may have had some challenges, but these were resolved. Reliability during peak traffic, consistent performance, and effective log integration are noted. Occasional brief delays or hiccups were reported, yet they were managed swiftly. Recent updates have rarely affected performance, reflecting Datadog's robust and dependable infrastructure 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

By visitors reading reviews

Top industries

By visitors reading reviews

Educational Organization

37%

Computer Software Company

10%

Financial Services Firm

10%

Manufacturing Company

Healthcare Company

Government

Retailer

University

Media Company

Insurance Company

Comms Service Provider

Real Estate/Law Firm

Energy/Utilities Company

Construction Company

Hospitality Company

Non Profit

Wholesaler/Distributor

Legal Firm

Transportation Company

Pharma/Biotech Company

Recreational Facilities/Services Company

Logistics Company

Outsourcing Company

Consumer Goods Company

Performing Arts

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.

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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