Datadog and DX NetOps compete in the IT infrastructure monitoring and management category. Datadog appears to have the upper hand due to its ease of use and integration capabilities, while DX NetOps is more suited for traditional on-premise environments.
Features: Datadog's key features include cloud hosting, which removes the need to manage infrastructure, sharable dashboards, and extensive integrations with services like AWS, Docker, and Splunk. It also offers intuitive metric monitoring, valued for its ability to streamline processes. DX NetOps stands out for its network traffic analysis and hybrid environment monitoring, offering automation through AI and dynamic threshold configuration, beneficial for users with legacy systems.
Room for Improvement: Datadog could enhance its dashboard sharing controls and improve performance in handling large datasets. Adjustments in pricing and expanded AI-driven monitoring could further improve the service. DX NetOps is noted for a need to improve technical support response times, enhance hardware requirement flexibility, and integrate more advanced AI features.
Ease of Deployment and Customer Service: Datadog excels in cloud and hybrid environments, providing generally rapid and knowledgeable customer support, despite some reports of delayed responses. DX NetOps supports hybrid environments but focuses on on-premises deployment. It is praised for its proactive and friendly support, although response times can vary.
Pricing and ROI: Datadog is considered expensive, particularly for larger environments, but many find the comprehensive features justify the cost with significant ROI through rapid issue resolution. Users are encouraged to monitor usage to avoid unexpected costs. DX NetOps also has a high pricing perception, yet offers competitive discounts for loyal users, with an all-inclusive package that can provide better value than à la carte pricing models.
It can save you the cost of the product by reducing expenses and downtimes in 12 to 18 months.
The product is very scalable, to the maximum.
I rate the stability of the product as ten on a scale of one to ten, indicating that it is very stable.
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.
It would be useful to have more AI features.
The setup cost for Datadog is more than $100.
The licensing cost of DX NetOps is expensive, not very affordable, and on the top of the price range in the market.
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.
The product features include automation through AI, allowing out-of-the-box analysis of performance data, building baseline trends, and enabling configuration of dynamic thresholds relative to collected data.
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.
DX NetOps by CA Technologies, a Broadcom company, improves your time to value through advanced AI capabilities and unified network visibility that delivers simplified NetOps intelligence into the user experience that traverses modern architectures. DX NetOps accomplishes this through high scale, unified network monitoring that enables full-stack analytics for assuring traditional and modern architectures. DX NetOps converts inventory, topology, device metrics, faults, flow and packet analysis into actionable intelligence for network operations teams. Complimented by our AIOps solution, DX NetOps enables IT teams to establish proactive, autonomous remediation capabilities across the applications, infrastructure, and networks that fuel superior user experiences.
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