Azure Event Hub

Azure Event Hubs is a fully managed, real-time data ingestion service by Microsoft Azure that can receive and process millions of events per second from various sources.

It acts as a big data pipeline, making it easy to stream data from multiple sources into Azure for real-time analytics, batch processing, or storage.

Event Hubs is Designed To:

  • Ingest high-throughput event streams from applications, devices, websites, etc.
  • Integrate with real-time stream processors like Azure Databricks, Azure Stream Analytics, or Apache Spark.
  • Support decoupled architectures for event-driven applications.

Key Components of Azure Event Hubs

Component Description
Event Publisher Sends (publishes) data to Event Hub (similar to Kafka Producer).
Event Hub (Namespace) A container for a stream of events; similar to Kafka Topic.
Partition Each Event Hub can have multiple partitions to allow parallelism.
Consumer Group A view (state) of the entire Event Hub, used by consumers to track processing.
Event Receiver Reads data from Event Hub (similar to Kafka Consumer).
Checkpoint/Offset Used to track the last read position in a partition for each consumer group.
Capture Built-in feature to automatically store event data to Azure Blob Storage or Data Lake for batch processing.

Azure Event Hub Architecture
Share This :
Scroll to Top