Splunk APM vs Unomaly comparison

Splunk APM is a comprehensive application performance monitoring solution that provides real-time insights into the performance and availability of your applications. 

It offers end-to-end visibility across the entire application stack, from the front-end user experience to the back-end infrastructure. With Splunk APM, you can proactively identify and resolve performance issues, optimize application performance, and ensure a seamless user experience. 

Splunk APM leverages machine learning and AI-powered analytics to automatically detect anomalies and provide actionable insights. The product supports a wide range of programming languages and frameworks, making it suitable for both monolithic and microservices-based architectures. It also integrates seamlessly with other Splunk products, allowing you to correlate APM data with logs, metrics, and other operational data for a holistic view of your application environment. 

With its intuitive interface and powerful features, Splunk APM empowers developers, operations teams, and business stakeholders to deliver high-performing applications and drive better business outcomes.

Unomaly was founded in Stockholm, 2012 and creates a solution that helps organisations around the world to better understand their environments through automated analysis of log and software generated data.

By automatically and continously learning the normal behaviour of any IT system through its data, the solution can detect virtually any incident, root cause and manipulation by its anomalous nature.

The team behind Unomaly consists of experienced engineers, designers and business people that all share a deep passion for the future of information technology.