NETSCOUT nGeniusONE and Datadog are both leading network performance management solutions. Datadog seems to have the upper hand due to its ease of use and comprehensive feature set.
Features: NETSCOUT nGeniusONE offers extensive packet-level analysis, advanced troubleshooting tools, and deep visibility into network traffic. Datadog provides real-time monitoring, integrated dashboards, and comprehensive log analysis.
Room for Improvement: NETSCOUT nGeniusONE needs enhancements in scalability, improved integration with third-party tools, and a more modern interface. Datadog could improve cost predictability and performance optimization during peak loads.
Ease of Deployment and Customer Service: NETSCOUT nGeniusONE deployment can be complex and often requires specialized knowledge and support. Datadog deployment is straightforward, quick, and supported by extensive documentation and responsive customer support.
Pricing and ROI: NETSCOUT nGeniusONE has higher initial setup costs but offers long-term ROI from its detailed analytics. Datadog users experience more affordable setup costs and consistent value for money due to its wide range of features.
The distributor's support is rated an eight out of ten, indicating room for improvement in SLA handling.
They need to work on their response time and overall competence.
The solution is highly scalable and accommodates the growth needs effectively.
Datadog is more stable than NETSCOUT nGeniusONE, being a SaaS-based solution compared to on-prem solutions like NETSCOUT.
I rate the stability of NETSCOUT nGeniusONE as ten out of ten since we have not experienced any escalations or downtime issues from the end user's side.
It would be beneficial to see more AI capabilities included in nGeniusONE to further streamline processes.
Customers want to have service assurance, including NPM and APM, from one vendor.
The cost depends on the size of the customer, as sizing controls the pricing.
The capability of real-time traffic intelligence is also very useful because it allows for the comparison between real-time and historical packet levels.
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.
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.