NETSCOUT nGeniusONE and New Relic are strong contenders in the network and application monitoring category. New Relic appears to have an advantage in application performance monitoring due to its user-friendly dashboards and error detection capabilities, while NETSCOUT is superior in network visibility with its deep packet inspection and real-time voice traffic analysis.
Features: NETSCOUT nGeniusONE offers deep packet inspection, NetFlow collection, and real-time voice traffic analysis to provide comprehensive network visibility. It also includes dependency mapping and data threat detection for robust network performance troubleshooting. New Relic specializes in application performance monitoring with features like real-time transaction monitoring, easy-to-navigate dashboards, and error detection, all contributing to quick server issue resolution.
Room for Improvement: NETSCOUT nGeniusONE suffers from complexity and a steep learning curve. Users seek a more intuitive interface and virtual environment support to lessen dependency on physical appliances. There are also concerns about buggy updates and complex user experiences. New Relic needs better data privacy transparency, improved alerting mechanisms, and enhanced real-time monitoring. Users also suggest simplifying its user interface and expanding data retention capabilities.
Ease of Deployment and Customer Service: NETSCOUT nGeniusONE is primarily deployed in on-premises and hybrid cloud setups, favoring controlled and secure installations, but complexity can hinder deployment ease. Its technical support is generally positive, yet the need for dedicated contractors may increase perceived costs. New Relic's SaaS model in public cloud environments offers flexibility and easy deployment, appealing to a broad user base. However, its support experiences mixed reviews, with variable response times and difficulties in complex troubleshooting.
Pricing and ROI: NETSCOUT nGeniusONE is noted for a high cost, justifiable by its extensive features if fully leveraged, though users may feel they overpay due to complexity and underutilization. ROI is realized through improved network uptime and efficient troubleshooting. New Relic's pricing is flexible but can become expensive with wide deployments. Despite higher costs, it delivers notable productivity gains and efficient issue resolution, enhancing ROI. Both tools provide value but can be impacted by pricing in relation to utilized 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.
I am actually happy with technical support from NETSCOUT.
Issues that could be solved quickly sometimes take longer because they go around in circles.
I have reached out to customer support multiple times for various cases, particularly for customization such as creating dashboards, and my experience has been good.
The solution is highly scalable and accommodates the growth needs effectively.
It is not similar to software solutions Datadog or Dynatrace where they can easily add agents without problems.
Customers are more sensitive about NETSCOUT nGeniusONE's upgrades because it has hardware.
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 want to have service assurance, including NPM and APM, from one vendor.
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.
It would be beneficial to see more AI capabilities included in nGeniusONE to further streamline processes.
Using real-time data, if there are any malicious patterns or something happening, they can identify those.
AI integration, including predictive analytics, is available for certain features but is not comprehensive.
New Relic can get pricey for larger organizations.
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.
NETSCOUT is focusing on network monitoring, specifically packet analysis, which sets them apart.
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
New Relic has positively impacted my organization by providing faster detection capabilities, allowing us to easily find issues, which is the best advantage.
Your data is monitored end to end, which could be directly linked with the SLA and SLO.
Product | Market Share (%) |
---|---|
New Relic | 1.8% |
NETSCOUT nGeniusONE | 1.5% |
Other | 96.7% |
Company Size | Count |
---|---|
Small Business | 15 |
Midsize Enterprise | 3 |
Large Enterprise | 37 |
Company Size | Count |
---|---|
Small Business | 65 |
Midsize Enterprise | 50 |
Large Enterprise | 61 |
New Relic offers real-time application monitoring and insight into performance bottlenecks. Its customizable dashboards and APM integration provide efficient operational support, while server performance alerts ensure quick issue detection.
New Relic provides comprehensive monitoring of application performance, tracking bottlenecks across databases and front-end components. Users employ it for server and infrastructure monitoring, as well as analyzing key metrics such as CPU and memory usage. The solution's ability to integrate with tools like PagerDuty enhances incident management capabilities. However, users have expressed a need for improvements in query language simplicity, more detailed historical insights, and better mobile app monitoring support.
What are New Relic's most important features?In industries like e-commerce and financial services, New Relic supports application performance monitoring to enhance user experience and system reliability. Organizations leverage its insights for optimizing performance, particularly in server operations and infrastructure management. Its ability to monitor API failures through synthetic monitoring is crucial for maintaining high service levels.
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