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.
Product | Market Share (%) |
---|---|
Datadog | 9.3% |
Zabbix | 16.5% |
New Relic | 5.8% |
Other | 68.4% |
Type | Title | Date | |
---|---|---|---|
Category | Cloud Monitoring Software | Aug 30, 2025 | Download |
Product | Reviews, tips, and advice from real users | Aug 30, 2025 | Download |
Comparison | Datadog vs Zabbix | Aug 30, 2025 | Download |
Comparison | Datadog vs Azure Monitor | Aug 30, 2025 | Download |
Comparison | Datadog vs Auvik Network Management (ANM) | Aug 30, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Wazuh | 3.7 | N/A | 80% | 48 interviewsAdd to research |
Wiz | 4.5 | N/A | 95% | 22 interviewsAdd to research |
Company Size | Count |
---|---|
Small Business | 64 |
Midsize Enterprise | 40 |
Large Enterprise | 69 |
Company Size | Count |
---|---|
Small Business | 1110 |
Midsize Enterprise | 622 |
Large Enterprise | 2836 |
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?
What benefits and ROI should users look for in reviews?
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.
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 |
---|---|---|
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. |
DevOps/Security Principal at Raken | 4.0 | We use Datadog for comprehensive monitoring and analysis, from infrastructure to applications. Its log management and alert features are valuable, though costs accumulate quickly. Despite this, its benefits justify our choice over alternatives like New Relic, Grafana, and Splunk. |
Senior Software Engineer at Los Angeles Times Communications, LLC | 4.0 | We rely on Datadog to monitor our diverse systems, benefiting from its ability to integrate data from multiple sources into a comprehensive view. Its Service Map simplifies architecture visualization, though onboarding could use more interactive, real-world tutorials for new users. |
DevOps Engineering Lead at Hellenic Bank Public Company Ltd | 3.5 | We utilize Datadog for monitoring our Azure and AKS infrastructure with emphasis on dashboards for system observability. While valuable, we face challenges with root cause analysis and pricing complexities. Previously, we used Elastic and considered alternatives like Splunk and ELK. |
Site Reliability Engineer at Icario | 4.5 | We use Datadog to monitor our AWS infrastructure, benefiting from its Terraform provider and K8s Orchestrator for scalability and management. Although billing clarity needs improvement, Datadog remains more integrated and effective than previous solutions like New Relic. |
Manager, System at Visma | 4.5 | In our organization, Datadog serves as a centralized tool for comprehensive monitoring and analysis, empowering internal customers with real-time insights. We value the versatile Agents feature but see a need for more detailed billing reports for better financial management. |
Software Architect at Keller Williams Realty, Inc. | 4.5 | We use Datadog for comprehensive observability, leveraging APM, RUM, and other features. Though the cost is high and features rapidly evolve, integration with other tools is helpful. We previously considered New Relic and Dynatrace for our Google Cloud infrastructure. |
Engineering Manager at RVshare | 4.5 | My primary use of Datadog is to enhance monitoring and understand application performance. APM is highly valuable, but onboarding developers can be challenging due to Datadog's extensive offerings. Despite this, it remains superior to New Relic. |