

Nagios XI and Datadog compete in the monitoring tools category. Datadog appears to have the upper hand due to its modern capabilities, extensive integrations, and ease of use in cloud environments.
Features: Nagios XI allows robust monitoring of services such as disk space, CPU, and memory usage with customizable plugins due to its open-source nature. Datadog provides extensive integrations, user-friendly interfaces, and features suited for cloud environments like logs, analytics, and customizable dashboards.
Room for Improvement: Nagios XI could benefit from enhanced user-friendliness, streamlined plugin management, and automated clustering. It currently requires additional scripting, complicating its management. Datadog has a complex pricing model that lacks transparency. It could improve with better documentation and enhanced AI-driven insights to address response latency.
Ease of Deployment and Customer Service: Nagios XI is known for its control over on-premises environments but involves a steep learning curve and inconsistent official support, making community resources vital. Datadog offers faster deployment across hybrid and cloud infrastructures and has received positive feedback on customer support, though guidance on new features could be improved.
Pricing and ROI: Nagios XI provides cost-effective solutions with its free and enterprise versions but has high licensing and support fees. Datadog offers a robust feature set with higher initial investment and a steep learning curve for cost management due to usage-based billing, but it delivers significant ROI through comprehensive monitoring features.
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.
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.
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.
If the user interface isn’t presenting data well, it becomes difficult to manage when scaling.
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.
These incidents are related to log service, indexes, and metric capturing issues.
It is very stable.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
Many tools have poor user interfaces, making them hard to manage and navigate.
The GUI could be improved. It's a bit too basic.
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.
We are using the free, open-source version.
The pricing for the Nagios XI product is good and better than other solutions.
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.
Nagios XI simplifies our setup and reduces the time spent configuring monitoring tools.
The alerting system is very effective.
| Product | Market Share (%) |
|---|---|
| Datadog | 4.8% |
| Nagios XI | 3.2% |
| Other | 92.0% |


| Company Size | Count |
|---|---|
| Small Business | 80 |
| Midsize Enterprise | 46 |
| Large Enterprise | 95 |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 17 |
| Large Enterprise | 21 |
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.
Nagios XI provides monitoring of all mission-critical infrastructure components, including applications, services, operating systems, network protocols, systems metrics, and network infrastructure. Third-party add-ons provide tools for monitoring virtually all in-house and external applications, services, and systems.
Nagios XI uses a powerful Core 4 monitoring engine that provides users with the highest levels of server monitoring performance. This high degree of performance enables nearly limitless scalability and monitoring powers.
With Nagios XI, stakeholders can check up on their infrastructure status using the role-based web interface. Sophisticated dashboards enable access to monitoring information and third-party data. Administrators can easily set up permissions so users can only access the infrastructure they are authorized to view.
Nagios XI Benefits and Features
Some of the benefits and top features of using Nagios XI include:
Reviews from Real Users
Nagios XI stands out among its competitors for a number of reasons. Several major ones are its integration options and monitoring abilities, as well as its alerting features.
David P., a senior DevOps engineer at EML Payments Ltd, writes, “We use Nagios as a network discovery tool. We use Nagios to maintain our uptime statistics and to monitor our services. It has allowed us to be much more sophisticated in our monitoring and alerting.”
An IT-OSS manager at a comms service provider notes, “Nagios XI has a custom API feature, and we can expose custom APIs for our integration. This is a great feature.”
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