Pendo vs Splunk User Behavior Analytics comparison

Pendo was founded in 2013 when alumni from Rally, Google, Cisco, and Red Hat combined their heads and hearts to build something they wanted but never had as product managers — a simple way to understand and attack what truly drives product success

With powerful analytics, in-application user feedback, and contextual guidance designed to help companies measure and elevate the customer experience within their applications, Pendo is on a mission to improve society’s experience with software.

Proudly built in North Carolina but engineered to scale globally without losing that soul.

Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.