Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.


| Product | Market Share (%) |
|---|---|
| Datadog | 7.3% |
| Zabbix | 13.4% |
| Checkmk | 5.0% |
| Other | 74.3% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Cloud Monitoring Software | Dec 29, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Dec 29, 2025 | Download |
| Comparison | Datadog vs Zabbix | Dec 29, 2025 | Download |
| Comparison | Datadog vs Azure Monitor | Dec 29, 2025 | Download |
| Comparison | Datadog vs Auvik Network Management (ANM) | Dec 29, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Wazuh | 3.7 | N/A | 81% | 50 interviewsAdd to research |
| Wiz | 4.5 | N/A | 96% | 33 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 66 |
| Midsize Enterprise | 43 |
| Large Enterprise | 83 |
| Company Size | Count |
|---|---|
| Small Business | 1055 |
| Midsize Enterprise | 545 |
| Large Enterprise | 2323 |
Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.
What are Datadog's Key Features?In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.
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 |
|---|---|---|
| Site Reliability Engineer at Grainger | 4.0 | I've found Datadog powerful and developer-friendly for monitoring and incident response, though managing costs and agent performance remains challenging; despite some support delays and stability issues, it's a valuable tool we use extensively across teams. |
| IT Manager at Liberty Mutual Insurance | 4.5 | I've used Datadog for three years to monitor infrastructure and applications, and it's greatly improved our alerting and issue resolution, though setup was tricky. Its features are powerful, and we've seen substantial ROI through reduced monitoring overhead. |
| Systems Administrator at Townsquare Interactive | 4.5 | I've used Datadog primarily for application and log monitoring, and it's greatly improved our debugging and efficiency, though onboarding was a bit challenging. Overall, it's reliable, insightful, and a cost-effective replacement for our previous monitoring tools. |
| S30334808 Software Engineer II at a wholesaler/distributor with 10,001+ employees | 4.0 | I use Datadog daily to monitor Grainger.com’s performance, find issues through APM traces and dashboards, and while it's powerful, setup is time-consuming and Watchdog and error reporting need improvement compared to our previous tool, Dynatrace. |
| Applications Web Services Technical Engineer at Ace Hardware | 4.0 | I've found Datadog highly effective for real-time application monitoring, offering valuable insights and support, though initial setup and training could improve; it's enhanced our system visibility significantly and replaced some legacy monitoring tools. |
| Service Manager at PwC | 4.0 | I've used Datadog for years to centralize monitoring across 300 teams, improving efficiency, standardization, and reducing costs, though managing enterprise-level access and cost control remains challenging; Flex Logs and emerging AI tools are promising additions. |
| QA Engineer at Townsquare Interactive | 5.0 | I've found Datadog extremely helpful for troubleshooting beta tests using replay videos, though filtering by user ID would save time. It's stable and scalable, but the UI could be simpler for non-technical users. |
| Sr. Cloud Infrastructure Engineer at a tech vendor with 51-200 employees | 4.0 | Datadog improves our observability with strong monitoring, APM, and logging features, though costs rise quickly with scale; it’s stable, scalable, and efficient, but I’d like better cost management tools and more flexible support options. |