IBM SevOne Network Performance Management and Kentik compete in network performance management. IBM SevOne NPM appears to have the upper hand in infrastructure monitoring capabilities, while Kentik excels in traffic analysis.
Features: IBM SevOne NPM provides comprehensive infrastructure visibility, offering agentless monitoring and real-time reporting capabilities with one-minute polling for granular insights. It can monitor a wide range of devices simultaneously and is noted for ease of use and quick graph generation. Kentik offers network flow analysis and visualization tools, delivering real-time visibility and providing flexibility in data exploration and customization. It stands out in traffic engineering and anomaly detection.
Room for Improvement: IBM SevOne users suggest enhancements in upgrade processes, baselining capabilities, and reporting. Complexity in high-frequency polling and data migration is also noted. Customization and compatibility with a broader range of technologies could be improved. Kentik is seen as needing better API usability, cost analysis, and integration with other performance monitoring tools. It could enhance actionable insights and reduce complexity for non-expert users.
Ease of Deployment and Customer Service: IBM SevOne NPM offers deployment flexibility across various environments including hybrid and on-premises setups. Customer service is highly rated for personal engagement, though some users note a learning curve with technical complexities. Kentik, available in on-premises and private cloud configurations, maintains a reputation for excellent customer service and engaging technical support. Support is robust for both, with SevOne being distinguished by deep engagement in technical complexities, and Kentik praised for responsiveness.
Pricing and ROI: IBM SevOne NPM offers a flexible pricing model based on device elements, beneficial for scaling. Users note a good return on investment through cost-effective network monitoring, despite potentially high initial costs. Kentik also offers flexible pricing and is considered cost-effective, though pricey for larger deployments. Customers find value in ROI through traffic visibility and streamlined network operations. SevOne provides granular device-based pricing options, while Kentik offers device-based and usage-based options.
The technical support from IBM for SevOne Network Performance Management (NPM) is very good.
It is suitable for small, medium, and enterprise-level companies.
The stability of IBM SevOne Network Performance Management (NPM) is excellent.
It would be beneficial to have out-of-the-box integration with third-party vendors and improvements in correlation features.
The pricing is good and aligns with the market target.
The most valuable features of IBM SevOne Network Performance Management (NPM) are its stability, usability, visibility, and user-friendly interface.
The most important feature is cybersecurity.
The IBM® SevOne Network Performance Management (IBM SevOne NPM) solution helps you spot, address, and prevent network performance issues early with machine learning-powered analytics from a single source. Boost network performance and improve your user application experience by proactively monitoring your multivendor end-to-end network across enterprise, communication, and managed service provider networks.
Transform raw network performance data into intelligent and actionable insights. The IBM SevOne NPM solution goes beyond detection, combining industry-leading expertise and advanced technology to help your IT team plan and optimize your network and act on what matters: improving network performance to provide an exceptional customer experience.
For further information, please visit www.ibm.com/cloud/sevo...
Kentik's AIOps Network Traffic Intelligence platform unifies network operations, performance, security, and business intelligence.
With a purpose-built big data engine delivered as public or private SaaS, Kentik captures a high-resolution view of actual network traffic data and enriches it with critical application and business data, so every network event or analysis can be tied to revenue & costs, customer & user experience, performance & risk.
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