Kusto Query Language vs Splunk

Developers should learn KQL when working with Microsoft's Azure ecosystem, especially for monitoring, security, and data analytics tasks that involve processing logs, metrics, or telemetry data meets developers should learn splunk when working in environments that require centralized log management, real-time monitoring, or security analytics, such as devops, cybersecurity, or large-scale application deployments. Here's our take.

Kusto Query Language

Nice Pick

Developers should learn KQL when working with Microsoft's Azure ecosystem, especially for monitoring, security, and data analytics tasks that involve processing logs, metrics, or telemetry data

Pros

• It is essential for roles in DevOps, site reliability engineering (SRE), and data analysis where real-time insights from large datasets are required, such as troubleshooting application performance, detecting security threats, or analyzing user behavior in cloud environments
• Related to: azure-data-explorer, azure-monitor

Cons

• Specific tradeoffs depend on your use case

Splunk

Developers should learn Splunk when working in environments that require centralized log management, real-time monitoring, or security analytics, such as DevOps, cybersecurity, or large-scale application deployments

Pros

• It is particularly valuable for troubleshooting system issues, detecting security threats, and gaining insights from machine data across distributed systems
• Related to: log-management, security-information-and-event-management

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Kusto Query Language is a language while Splunk is a platform. We picked Kusto Query Language based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Kusto Query Language wins

Based on overall popularity. Kusto Query Language is more widely used, but Splunk excels in its own space.