What type of data does Splunk primarily work with?

Splunk primarily works with machine-generated data. This type of data comes from various sources such as servers, network devices, applications, and sensors, among others. Machine-generated data encompasses a broad range of formats, including logs, metrics, and events. Splunk is specifically designed to ingest, index, and analyze this data in real-time, enabling organizations to gain insights into their systems, troubleshoot issues, monitor performance, and ensure security.

Machine-generated data is distinct because it typically lacks a predefined structure, making it different from structured data such as databases or spreadsheets. This flexibility allows Splunk to handle diverse types of data seamlessly and extract meaningful information through powerful search and data visualization capabilities. While Splunk can also work with social media data and logs from web servers, its strength lies in its ability to handle extensive volumes of machine-generated data from a wide variety of sources.