Struggling to choose between Splunk and ExtraHop? Both products offer unique advantages, making it a tough decision.
Splunk is a Ai Tools & Services solution with tags like machine-learning, big-data, log-analysis.
It boasts features such as 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 pros including Powerful analytics capabilities, Flexible and scalable, Easy to use interface, Broad data source support, Robust security features, Large ecosystem of apps and integrations.
On the other hand, ExtraHop is a Network & Admin product tagged with network, monitoring, detection, response, visibility, threats, performance.
Its standout features include Real-time network traffic analysis, Machine learning for anomaly detection, Automatic threat detection and response, Network performance monitoring, Customizable dashboards and reporting, and it shines with pros like Powerful visualization and analytics, Rapid time-to-value, Scales to monitor large networks, Agentless and non-intrusive, Integrates with other security tools.
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.
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.
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.