What is KQL Database

Definition

A KQL database in Microsoft Fabric is a store optimised for large volumes of time-series and log data, queried with Kusto Query Language (KQL) for fast exploration and analytics over high-velocity telemetry, events, and logs in real-time analytics scenarios.

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Ingests and queries high-volume time-series and log data fast
Uses KQL, purpose-built for exploring telemetry and events
Powers real-time analytics on streaming and log data in Fabric
Scales to massive event volumes with low-latency queries

Glossary: Event Sourcing

Real World Example

An IoT team streams device telemetry into a Fabric KQL database and uses KQL queries to spot anomalies across millions of events in seconds, powering real-time operational dashboards.

FAQs

What is a KQL database optimised for?

Fast ingestion and querying of large volumes of time-series, log, and telemetry data.

What is KQL?

Kusto Query Language, a read-oriented language designed for exploring and analysing big telemetry and log datasets.

When should I use a KQL database in Fabric?

For real-time analytics on high-velocity event, log, and time-series data where fast exploratory queries matter.