I appreciate that Logpoint treats context as a first-class citizen, which is crucial for handling modern cloud telemetry and traditional on-premise systems efficiently. It seamlessly unifies various types of telemetry and identity analytics without needing to patch together disparate tools. I love how Logpoint transforms a traditional SIEM into an investigation engine through its taxonomy model, which ensures that logs are standardized, making cross-environment investigations feel almost effortless. The focus on collecting meaningful data rather than just volume is refreshing, allowing me to sift through and extract valuable insights without being overwhelmed by unnecessary information. Additionally, Logpoint's integration with existing tools across security, identity, and infrastructure enhances its value even further, demonstrating its compatibility and adaptability with the rest of my tech ecosystem. This makes it a tool of choice over others we've previously used, like Splunk. Review collected by and hosted on G2.com.
Logpoint's power is derived from its structured approach, but this comes with a real learning curve. If I don't invest the time to understand its taxonomy and query language, I won't unlock its full potential. The system isn't necessarily complicated, but it's different from the 'anything goes' approach used by traditional SIEMs. The strict taxonomy, structured query language, and dashboards follow a very defined logic, requiring dedicated time and effort to master effectively. Review collected by and hosted on G2.com.
