

Datadog and OpsRamp are prominent players in IT monitoring and management platforms. Datadog's extensive features and ease of integration, combined with strong customer service, give it an upper hand over OpsRamp in deployment versatility and user experience.
Features: Datadog is distinguished by its extensive hosted features, including sharable dashboards, multiple integrations, and Slack integration. Its systems are intuitive for creating monitors and integrating with cloud services like Amazon ECS and RDS. OpsRamp offers valuable multi-tenant architecture, predictive analytics, and robust alert generation capabilities. Its AI-driven correlation provides a comprehensive monitoring solution for diverse IT environments.
Room for Improvement: Datadog users suggest improvements in interface consistency, documentation, and insight into usage while noting the high cost of logging solutions and a steep learning curve for complex queries. OpsRamp users recommend enhancements for UIs in accessibility, process automation, and better integration with network capabilities, noting the lack of process automation and complexity in managing alerts.
Ease of Deployment and Customer Service: Datadog is praised for compatibility across private, public, and hybrid cloud environments, offering versatility in deployment. Customer service is generally favorable, although response times vary. OpsRamp focuses on public and hybrid cloud environments with effective but sometimes inconsistent support.
Pricing and ROI: Datadog's pricing is acknowledged as high, though the extensive features justify the investment, yielding significant ROI through reduced downtime and performance optimization. OpsRamp is noted for its affordability with a competitive perpetual license pricing model, offering a fair investment for comprehensive monitoring.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
We have also seen fewer escalations for minor issues because alerts help us catch problems earlier, which indirectly reduces downtime and improves overall efficiency.
It is important to stick with available features and provide customers with clear, precise details about what can and cannot be done to avoid anomalies.
I find the licensing model convenient and clear enough, and I have seen a return on investment with OpsRamp.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
Having a dedicated firefighter team for each MSP would be beneficial.
Datadog's scalability has been great as it has been able to grow with our needs.
Since it is a SaaS platform, we did not have to worry about backend scaling.
We have not faced any major performance issues from the platform side; it handles increased metrics and monitoring loads smoothly.
Metrics collection and alerting have been consistent in day-to-day use.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
We want to be able to customize the cost part, and we would appreciate more granular access control.
Having more transparent and granular cost control features would make it easier to manage usage.
Technical support should be improved.
The setup cost for Datadog is more than $100.
Pricing is mainly based on data ingestion, such as logs, metrics, and traces, and it can increase quickly if everything is enabled by default.
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
it does not strike me as expensive, and the licensing model is clear enough.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
I have utilized OpsRamp's capability for predictive analytics, and it has been important in fostering collaboration between my IT and development teams under DevOps methodologies, where applicable.
| Product | Mindshare (%) |
|---|---|
| Datadog | 3.4% |
| OpsRamp | 0.9% |
| Other | 95.7% |

| Company Size | Count |
|---|---|
| Small Business | 81 |
| Midsize Enterprise | 50 |
| Large Enterprise | 100 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 2 |
| Large Enterprise | 10 |
Datadog offers a comprehensive platform for monitoring applications and infrastructure, providing insights into real-time metrics and optimizing performance with extensive integrations and analytics capabilities.
Datadog provides a robust monitoring platform designed for applications and infrastructure tracking. With intuitive dashboards and real-time metrics visibility, it enhances operational efficiency and enables proactive incident management. The platform supports data centralization across services, reducing downtime through its monitoring capabilities. Integration with AWS, Kubernetes, and other systems aligns with performance tracking and infrastructure management, while APM and RUM features allow tracing and user behavior analytics.
What are Datadog's Key Features?Industries utilizing Datadog benefit from detailed monitoring and comprehensive analytics across multi-cloud environments. Companies in e-commerce, finance, and technology sectors implement it for end-to-end monitoring ensuring robust application performance. The platform assists in maintaining standards through integration with services like AWS and Azure, providing efficient observability and allowing proactive issue resolution.
OpsRamp offers a comprehensive IT management platform that enhances business operations through monitoring automation, AIOps, and integration capabilities.
OpsRamp provides a single pane of glass for hybrid infrastructure management, integrating with tools like Zendesk to streamline operations. With predictive analytics and AIOps features such as root cause analysis, it significantly improves IT efficiency. The platform's machine learning, event correlation, and personalized dashboards improve user experience. However, users have noted scalability issues, interface limitations, and patch management inconsistencies, with room for enhancement in network capabilities and ITSM maturity.
What features define OpsRamp?OpsRamp is widely implemented for managing and automating IT infrastructure across sectors. Enterprises apply it for Azure infrastructure management, resource threshold setting, and generating alerts. It supports digital transformation through incident management, tools consolidation, and leveraging AI for IT operations, facilitating network and storage device onboarding for customer environments.
We monitor all IT Infrastructure Monitoring reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.