What is Synapse Real-Time Analytics

Definition

Synapse Real-Time Analytics in Microsoft Fabric is the workload for ingesting and analysing high-volume streaming and event data with low latency, using event streams and KQL databases so organisations can act on data the moment it arrives.

« Back to Glossary Index

Ingests and analyses streaming event data with low latency
Uses KQL for fast queries over live telemetry and logs
Enables real-time dashboards and event-driven actions
Scales to high-velocity data within the Fabric platform

Real World Example

A gaming company uses Synapse Real-Time Analytics to ingest live player events into a KQL database and power dashboards that show concurrent users and errors as they happen, enabling instant operational response.

FAQs

What does Synapse Real-Time Analytics handle?

High-volume streaming and event data, ingested and analysed with low latency using event streams and KQL databases.

How does it differ from batch analytics?

It processes data continuously as it arrives for near-instant insight, rather than on scheduled batches.

What powers its fast queries?

KQL databases optimised for time-series and log data deliver low-latency queries over large event volumes.