

ManageEngine OpManager and Datadog compete in IT monitoring. ManageEngine OpManager is stronger in network monitoring, while Datadog stands out in infrastructure monitoring.
Features: ManageEngine OpManager excels in network monitoring, automation, and alerting, providing oversight of network devices and integration capabilities. Datadog offers integrated APM, custom metrics, and dashboards, making it effective in distributed systems and cloud services monitoring.
Room for Improvement: ManageEngine OpManager can improve its user interface, support system, and licensing clarity. Datadog could enhance its pricing model, log filtering, and documentation cohesion.
Ease of Deployment and Customer Service: ManageEngine OpManager is usually deployed on-premises and praised for technical support, though inconsistencies are noted. Datadog offers deployment across cloud environments and is commended for customer service and guidance, though its feature set might be complex for new users.
Pricing and ROI: ManageEngine OpManager is seen as cost-effective with a moderate pricing structure. Datadog, while functional, can be costly as usage grows, although its flexibility is noted. Both provide positive ROI, with ManageEngine OpManager reducing administrative overheads and Datadog enhancing monitoring efficiency.
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.
However, from a sales perspective, it's very challenging for the initial sale, and even renewals are tough when it comes to the price point.
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.
I would recommend a rating of ten out of ten for support.
More support is needed, especially on weekends.
I would give nine points out of ten for ManageEngine OpManager's technical support.
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.
Scalability is needed more in automation and AI functionalities.
We can change the licenses for devices at any time to accommodate our needs.
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.
If identifying the interface was easier, it would take less time to configure.
There is a call for ManageEngine OpManager to scale better in automation and AI functionality.
Improving the after-sales support and learning materials for local engineers and partners to enhance their capacities and expertise.
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.
Pricing for ManageEngine OpManager is good and negotiable with the distributor;
The cost is quite high-end for ManageEngine OpManager, especially in our very price-sensitive market here in Sri Lanka.
Based on my experience and use case, the setup cost and price of ManageEngine OpManager is good.
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.
The automated reporting back, which includes identifying the top list and trends, as well as session monitoring from the end user to server through routers and firewalls, provides exact issue notifications for network problems.
The biggest benefit of ManageEngine OpManager for our customers is centrally managing the users and assets of an organization, along with link management, bandwidth management, and similar functionalities.
The alerts and the ability to restart services or computers or end devices in ManageEngine OpManager are what I find most valuable.
| Product | Mindshare (%) |
|---|---|
| Datadog | 2.4% |
| ManageEngine OpManager | 1.7% |
| Other | 95.9% |


| Company Size | Count |
|---|---|
| Small Business | 82 |
| Midsize Enterprise | 47 |
| Large Enterprise | 100 |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 15 |
| Large Enterprise | 27 |
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.
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.
ManageEngine OpManager offers real-time network performance monitoring and reporting. Known for its customizable dashboards and topology maps, it supports device monitoring and alerting, enhanced by features like Firewall Analyzer and NetFlow.
Designed for network infrastructure management, ManageEngine OpManager monitors servers, devices, applications, and security across on-premise and cloud environments. Adaptive thresholds and automation simplify proactive monitoring, while issues with dashboard design, business view enhancements, performance stability in large deployments, and licensing warrant attention. Its machine learning and AI could be more advanced. Despite these, organizations use its comprehensive dashboards for real-time insights into CPU, RAM, and disk utilization, receiving notifications for unauthorized requests or performance issues.
What are the key features of ManageEngine OpManager?ManageEngine OpManager is widely implemented in industries requiring robust network infrastructure management. Companies in sectors with complex server and application needs benefit from its monitoring and alerting capabilities. Its ability to manage and provide insights across distributed locations makes it a valuable tool for enterprises operating in both on-premise and cloud environments.
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