What is kql in azure

Last updated: April 1, 2026

Quick Answer: KQL in Azure refers to Kusto Query Language integrated with Microsoft Azure services like Azure Data Explorer and Azure Monitor for analyzing logs, metrics, and security data.

Key Facts

Overview

KQL in Azure represents the integration of Kusto Query Language with Microsoft's cloud analytics and monitoring ecosystem. Azure provides several native services that leverage KQL as their primary query language, enabling organizations to extract insights from massive volumes of data generated by cloud applications, security events, and infrastructure monitoring. This integration makes KQL essential for enterprises using Microsoft Azure's analytics and security solutions.

Azure Data Explorer

Azure Data Explorer is Microsoft's primary big data analytics service built on KQL. It is engineered to ingest and analyze terabytes or petabytes of data with millisecond latency. Organizations use Azure Data Explorer for real-time analytics, time-series analysis, and IoT data processing. The service automatically scales to handle massive data volumes, making KQL queries performant even against enormous datasets. Users can visualize results through Power BI integration or export data for further analysis.

Azure Monitor and Application Insights

Azure Monitor uses KQL to query logs and metrics from monitored applications and infrastructure. Application Insights, a component of Azure Monitor, captures application performance data and telemetry. Developers and operations teams write KQL queries to:

Microsoft Sentinel Integration

Microsoft Sentinel, Azure's cloud-native security information and event management (SIEM) platform, uses KQL exclusively for threat hunting and detection. Security analysts write KQL queries to identify suspicious patterns, investigate incidents, and create automated detection rules. Sentinel's analytics rules, scheduled alerts, and hunting queries all depend on KQL, making it critical for organizations implementing Sentinel for security operations.

Azure Services Across the Platform

Beyond these core services, KQL is available across multiple Azure offerings including Azure Policy for compliance monitoring, Azure Synapse Analytics for data warehousing, and various first-party and third-party integrations. Microsoft continuously expands KQL support within Azure, solidifying its position as the platform's primary analytics query language.

Related Questions

What is the difference between Azure Data Explorer and Azure Monitor?

Azure Data Explorer is a standalone big data analytics service optimized for rapid querying of massive datasets. Azure Monitor is a broader monitoring service that uses KQL to query logs and metrics from applications and infrastructure. Monitor is typically used for operational monitoring, while Data Explorer handles general analytics.

Can I use KQL across multiple Azure services?

Yes, KQL queries are generally compatible across Azure Data Explorer, Azure Monitor, and Microsoft Sentinel. However, some service-specific functions and operators may differ slightly, so organizations should test queries when moving between services.

How do I start using KQL with Azure Monitor?

Navigate to your Azure Monitor resource in the Azure Portal, select the Logs section, and use the KQL editor to write queries against your collected data. Microsoft provides templates and examples to help beginners get started with common monitoring scenarios.

Sources

  1. Microsoft - KQL in Azure Data Explorer Copyright Microsoft
  2. Microsoft - Getting Started with KQL in Azure Monitor Copyright Microsoft
  3. Wikipedia - Cloud Computing CC-BY-SA-4.0