KQL Builder

KQL Builder helps data teams craft Kusto Query Language scripts for Azure Data Explorer. It guides input, validates dataset compatibility, and outputs export-ready query strings. Intended users include data engineers, SREs, security analysts, and data scientists who routinely query telemetry, logs, and metrics. It is valuable during onboarding of new data sources, rapid investigations, and when teams want a consistent querying approach.
Conceptually, the tool collects inputs for a query pipeline: dataset reference (cluster/database/table), time window, filter rules, projection columns, and optional aggregations. It then assembles a valid KQL script by applying where filters, project steps, summarize with time-bin if requested, and optional sort/limit. Templates cover common telemetry patterns and can be customized.
Unique value includes schema-aware auto-complete that suggests valid fields, templates for typical data sources, parameterizable queries for reuse, and safety guards to prevent heavy scans. The builder emphasizes an export-ready output that teams can paste into notebooks, dashboards, or automation scripts.
Core features include grouped input fields, real-time validation, sample schema hints, built-in templates, and an export option. Use cases include ad-hoc telemetry analysis, dashboards that rely on reproducible KQL, and security investigations where precise time-bound queries are critical.