

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.
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
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.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
Scalability is needed more in automation and AI functionalities.
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.
Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.
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.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
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.
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.
My experience with pricing, setup cost, and licensing is that it is really expensive.
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.
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.
Managing platforms and network device virtualization on one platform is beneficial.
| Product | Market Share (%) |
|---|---|
| Datadog | 2.4% |
| ManageEngine OpManager | 1.5% |
| Other | 96.1% |


| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 99 |
| Company Size | Count |
|---|---|
| Small Business | 16 |
| 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 is a network, server, and virtualization monitoring software that helps SMEs, large enterprises and service providers manage their data centers and IT infrastructure efficiently and cost effectively. Automated workflows, intelligent alerting engines, configurable discovery rules, and extendable templates enable IT teams to setup a 24x7 monitoring system within hours of installation.
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