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Kusto documentation

Kusto Query Language (KQL) is a powerful tool for exploring your data, uncovering patterns, identifying anomalies and outliers, creating statistical models, and more. KQL is a versatile language that allows you to query structured, semi-structured, and unstructured data effectively. The language is expressive and straightforward, making it easy to read and understand the intent of queries, and is optimized for a smooth authoring experience.

About Kusto Query Language

Overview

• What is Kusto Query Language?
• Best practices for Kusto Query Language queries

Get started

• Quick reference guide
• Kusto Query Language learning resources

Training

Training

• Kusto Detective Agency
• Free Pluralsight training
• Learning path: Data analysis with Kusto Query Language
• Must learn KQL

Cheat sheets

Reference

• SQL to Kusto cheat sheet
• Splunk to Kusto cheat sheet
• Query data using T-SQL
• Regular expression syntax

Entities and data types

Concept

• Entity types
• Entity names
• Entity references
• Scalar data types
• Null values

Statements and operators

Concept

• Statement types
• Tabular operators
• Graph operators

Functions

Concept

• Function types
• Scalar functions
• Aggregation functions
• Geospatial clustering functions
• Window functions
• Functions library