NETSCOUT nGeniusONE and Datadog compete in network and application performance management. While NETSCOUT leads with its comprehensive network visibility, Datadog offers superior ease of use and feature integration for cloud environments.
Features: NETSCOUT nGeniusONE provides deep packet analysis, NetFlow traffic analysis, and comprehensive network visibility. Its ability to quickly identify network issues makes it highly valuable. Datadog offers strong cloud infrastructure monitoring, an extensive range of integrations, and powerful dashboarding and alerting features that enhance user experience across cloud environments.
Room for Improvement: NETSCOUT nGeniusONE could enhance user-friendliness and improve its graphical interface to lower the dependency on experts. Its integration capabilities also need development. Datadog could benefit from clearer feature navigation and improved cost management tools. Users expect more advanced integrations and refined log filtering capabilities.
Ease of Deployment and Customer Service: NETSCOUT nGeniusONE is typically on-premises, requiring expert support due to its complexity, while providing personalized customer service. Datadog, compatible with public, private, and hybrid clouds, offers simpler deployment and robust customer service. However, cost and scaling support could be issues for some users.
Pricing and ROI: NETSCOUT nGeniusONE is expensive, potentially limiting its accessibility to smaller enterprises despite offering significant ROI in troubleshooting and network visibility. Its pricing inflexibility is noted. Datadog's usage-based pricing requires careful cost monitoring to prevent unexpected charges, though it is generally considered competitive. Both solutions promise improved visibility and uptime, catering to different organizational needs.
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.
I am actually happy with technical support from NETSCOUT.
It is not similar to software solutions Datadog or Dynatrace where they can easily add agents without problems.
The solution is highly scalable and accommodates the growth needs effectively.
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.
Datadog is more stable than NETSCOUT nGeniusONE, being a SaaS-based solution compared to on-prem solutions like NETSCOUT.
Customers are more sensitive about NETSCOUT nGeniusONE's upgrades because it has hardware.
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.
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.
Customers want to have service assurance, including NPM and APM, from one vendor.
It would be beneficial to see more AI capabilities included in nGeniusONE to further streamline processes.
Many big companies Samsung and Hyundai try to build their own monitoring solutions using open-source tools and their own engineers, though it has not been successful.
The setup cost for Datadog is more than $100.
The cost depends on the size of the customer, as sizing controls the pricing.
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 capability of real-time traffic intelligence is also very useful because it allows for the comparison between real-time and historical packet levels.
NETSCOUT is focusing on network monitoring, specifically packet analysis, which sets them apart.
Product | Market Share (%) |
---|---|
Datadog | 3.1% |
NETSCOUT nGeniusONE | 1.5% |
Other | 95.4% |
Company Size | Count |
---|---|
Small Business | 78 |
Midsize Enterprise | 42 |
Large Enterprise | 82 |
Company Size | Count |
---|---|
Small Business | 14 |
Midsize Enterprise | 3 |
Large Enterprise | 37 |
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.
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