NETSCOUT nGeniusONE and Splunk Observability Cloud compete in the network and application monitoring space. Splunk appears to have an edge due to its strong integration and real-time troubleshooting features, appealing to diverse cloud environments.
Features: NETSCOUT nGeniusONE offers detailed traffic analysis with NetFlow traffic analysis, packet inspection, and application-layer traffic visibility. It is highly effective in identifying problems with its deep packet inspection and real-time communication monitoring. Splunk Observability Cloud is valued for real-time troubleshooting, customizable dashboards for data visibility, and integration capabilities with cloud environments.
Room for Improvement: NETSCOUT nGeniusONE could improve its user experience by creating a more intuitive interface, decreasing reliance on physical appliances, and introducing modular licensing. It should also address software stability during upgrades. Splunk Observability Cloud's navigation could be simpler, and there's a need for better predefined monitoring solutions. Enhancements in synthetic monitoring, machine learning capabilities, and reducing the reliance on manual processes are needed.
Ease of Deployment and Customer Service: NETSCOUT nGeniusONE is typically deployed on-premises, with direct and personalized technical support. However, this requires dedicated personnel, impacting costs. Splunk Observability Cloud is deployed in both private and public clouds and known for robust, albeit expensive support. It offers flexibility in different environments and integrates well with existing systems.
Pricing and ROI: Both NETSCOUT nGeniusONE and Splunk Observability Cloud are perceived as costly. The extensive features of NETSCOUT nGeniusONE sometimes lead users to feel they overpay, but its ROI is evident in network management efficiencies. Splunk's pricing is high but justified by its real-time resolution capabilities and comprehensive monitoring, with users valuing its pay-as-you-go model despite the initial cost.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
They need to work on their response time and overall competence.
The distributor's support is rated an eight out of ten, indicating room for improvement in SLA handling.
I am actually happy with technical support from NETSCOUT.
They often require multiple questions, with five or six emails to get a response.
Support from Splunk is not very helpful because Splunk doesn't have a dedicated APM; they only have one APM engineer in Korea.
They did respond to us, but they did not explicitly inform us about the feature's absence.
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.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability a nine out of ten.
The issue is mainly about pricing because if they want to monitor more, it costs money.
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.
Customers are more sensitive about NETSCOUT nGeniusONE's upgrades because it has hardware.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
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.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Improvements in dashboard configuration, customization, and artificial intelligence functionalities are desired.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
The cost depends on the size of the customer, as sizing controls the pricing.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It appears to be expensive compared to competitors.
Splunk is a little expensive, however, it is in line with the current market 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.
Their analysis capability actually surpasses other APM solutions, which is why customers love it.
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.
Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.
What are the key features?In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.
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