Struggling to choose between ExtraHop and Splunk? Both products offer unique advantages, making it a tough decision.
ExtraHop is a Network & Admin solution with tags like network, monitoring, detection, response, visibility, threats, performance.
It boasts features such as Real-time network traffic analysis, Machine learning for anomaly detection, Automatic threat detection and response, Network performance monitoring, Customizable dashboards and reporting and pros including Powerful visualization and analytics, Rapid time-to-value, Scales to monitor large networks, Agentless and non-intrusive, Integrates with other security tools.
On the other hand, Splunk is a Ai Tools & Services product tagged with machine-learning, big-data, log-analysis.
Its standout features include Real-time log management and analysis, Ability to ingest data from many sources, Powerful search and reporting capabilities, Visualizations and dashboards, Alerting and notifications, Anomaly detection, Integration with other systems and tools, and it shines with pros like Powerful analytics capabilities, Flexible and scalable, Easy to use interface, Broad data source support, Robust security features, Large ecosystem of apps and integrations.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
ExtraHop is a network detection and response platform that provides visibility into network activity to detect threats and performance issues. It uses machine learning to analyze network data in real-time.
Splunk is a software platform for searching, monitoring, and analyzing machine-generated big data via a web-style interface. It provides real-time operational intelligence that enables organizations to collect, index, and harness data from websites, applications, sensors, devices, and other systems.