Datadog and Nagios Core compete in the monitoring and observability category. Based on comprehensive integration and user-friendly experience, Datadog appears to have an edge.
Features: Datadog offers extensive integration capabilities, shareable dashboards, and advanced alert mechanisms making it highly suitable for complex cloud environments. Nagios Core, while not as polished, provides significant customization options and excels in network and infrastructure monitoring for on-premises setups.
Room for Improvement: Datadog could enhance dashboard performance, API consistency, and pricing transparency. Nagios Core would benefit from a modernized interface and more robust configuration tools to align with current standards.
Ease of Deployment and Customer Service: Datadog provides robust support for cloud deployments and has generally good customer service, though response times can vary. Nagios Core is mainly on-premises, requiring more internal expertise, and a more streamlined support structure would enhance its offering.
Pricing and ROI: Datadog's complex pricing can escalate with larger deployments, yet many users find the features justify the cost. Nagios Core, with its open-source model, offers a cost-effective solution, mainly incurring costs through customization rather than licensing, which is appealing for budget-conscious environments.
The solution is scalable.
I tried many other solutions at work, however, in terms of Nagios, I haven't seen any disruption or downtime.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
The setup cost for Datadog is more than $100.
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.
The technology itself is generally very useful.
You can monitor anything.
Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.
Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.
What are the key features of Datadog?
What benefits and ROI should users look for in reviews?
Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.
This is IT infrastructure monitoring's industry-standard, open-source core. Free without professional support services.
We monitor all Network Monitoring Software 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.