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 | 8.8% |
Zabbix | 15.5% |
Checkmk | 5.5% |
Other | 70.2% |
Type | Title | Date | |
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Category | Cloud Monitoring Software | Sep 29, 2025 | Download |
Product | Reviews, tips, and advice from real users | Sep 29, 2025 | Download |
Comparison | Datadog vs Zabbix | Sep 29, 2025 | Download |
Comparison | Datadog vs Azure Monitor | Sep 29, 2025 | Download |
Comparison | Datadog vs Auvik Network Management (ANM) | Sep 29, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
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Wazuh | 3.7 | N/A | 80% | 49 interviewsAdd to research |
Wiz | 4.5 | N/A | 95% | 23 interviewsAdd to research |
Company Size | Count |
---|---|
Small Business | 64 |
Midsize Enterprise | 40 |
Large Enterprise | 69 |
Company Size | Count |
---|---|
Small Business | 1051 |
Midsize Enterprise | 593 |
Large Enterprise | 2589 |
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 |
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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. |