SolarWinds NPM vs Splunk Enterprise Security comparison

SolarWinds NPM is a network monitoring solution that enables you to detect, diagnose, and resolve network performance issues and outages quickly and efficiently. The solution is a powerful tool that can help you increase service levels, reduce downtime with multi vendor network monitoring, simplify the management of complex network devices, improve operational efficiency, and much more.

SolarWinds NPM Features

SolarWinds NPM has many valuable key features. Some of the most useful ones include:

• Increased scalability
• Fault, performance, and availability monitoring
• Dynamic network discovery and mapping
• Cross-stack network data correlation
• Customizable topology
• Dependency-aware intelligent alerts
• Intelligent maps
• Automated capacity forecasting, alerting, and reporting
• Logical and physical network monitoring
• Monitor Azure vNet gateway visibility

SolarWinds NPM Benefits

There are several benefits to implementing SolarWinds NPM. Some of the biggest advantages the solution offers include:

• Comprehensive monitoring for advanced network devices: With SolarWinds NPM, you can gain insight into the health and performance of your load balancers, Cisco ASA and Palo Alto Networks, firewalls, and Cisco Nexus switches.

• Hardware health monitoring: SolarWinds NPM makes it easy for you to monitor, alert, and report on key device metrics, including power supply, fan speed, and temperature.

• Customizable performance and availability reports: With this feature, you can choose from more than 100 templates to schedule and also generate custom network performance reports.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the SolarWinds NPM solution.

PeerSpot user Andrew N., Senior Network Engineer at Element Critical, says, “The "Performance Analyzer" feature is the solution's most valuable aspect. It's able to do the bounded graphs of all the interface stats, from errors to broadcasts and to current traffic. With a click of a button you're able to, in one interface, look at historical data for those items.” He also adds, “From the troubleshooting point of view, just having that peace of mind is great. And, The solution is extremely stable. We haven't had any issues in that regard. We haven't had issues with bugs, glitches, or crashes."

Daniel S., Systems and Data Warehouse Supervisor at MMSD, mentions, “The alerting and usage tracking is a valuable feature because it alerts us when we're getting near capacity on disk space, network utilization or processor utilization. It helps us manage our capacity and enables us to be proactive.”

A Senior Vice President and CIO at a financial services firm explains, “As we look to add more servers to our virtual environment and to understand the impact, the solution allows us to dig into the historical charts related to capacity planning. It also gives us visibility of spikes and allows us to track down the reasons for their occurrences. So too, it makes room for potential processes that have gotten hung or runaway and to know when it's time to reboot a server or service.”

Dinesh N., Digital Innovation at Bobcat Company, states, “The best part of the solution is the sharing display. It gives a general public ID wherein everyone can link to a public display. That's a good feature.”

Fazal A., Implementation & Support Specialist at 360Factors, comments, “We have configured multiple alerts for our network devices, including routers and switches, so that we are notified if any interface goes down. In the event an interface goes down, we have multiple reports that include availability monitoring, network uptime monitoring, and network downtime monitoring. These reports are on multiple schedules such as the end of the day, end of the last business day of the week, monthly, and quarterly. This gives us the ability to provide reports to our management and let them know the performance of our network.”

Splunk Enterprise Security is widely used for security operations, including threat detection, incident response, and log monitoring. It centralizes log management, offers security analytics, and ensures compliance, enhancing the overall security posture of organizations.

Companies leverage Splunk Enterprise Security to monitor endpoints, networks, and users, detecting anomalies, brute force attacks, and unauthorized access. They use it for fraud detection, machine learning, and real-time alerts within their SOCs. The platform enhances visibility and correlates data from multiple sources to identify security threats efficiently. Key features include comprehensive dashboards, excellent reporting capabilities, robust log aggregation, and flexible data ingestion. Users appreciate its SIEM capabilities, threat intelligence, risk-based alerting, and correlation searches. Highly scalable and stable, it suits multi-cloud environments, reducing alert volumes and speeding up investigations.

• Comprehensive Dashboards: Provide a holistic view of security operations.
• Flexible Data Ingestion: Supports various data sources for better analysis.
• Robust Log Aggregation: Centralizes log management for easier monitoring.
• Machine Learning Toolkit: Enhances threat detection and prediction capabilities.
• SIEM Capabilities: Integrates security information and event management.
• Threat Intelligence: Utilizes external information to improve security measures.
• Risk-Based Alerting: Prioritizes alerts based on the risk they pose.
• Correlation Searches: Identifies and correlates security events effectively.

• Enhanced Visibility: Improves monitoring across endpoints, networks, and users.
• Faster Incident Response: Speeds up identification and resolution of security issues.
• Reduced Alert Volumes: Lowers false positives and enhances signal-to-noise ratio.
• Scalability: Adapts to growing and changing security needs.
• Improved Security Operations: Integrates multiple security facets into one platform.

Splunk Enterprise Security is implemented across industries like finance, healthcare, and retail. Financial institutions use it for fraud detection and compliance, while healthcare organizations leverage its capabilities to safeguard patient data. Retailers deploy it to protect customer information and ensure secure transactions.