Big Data Streaming

Azure Event Hubs is a big-data streaming platform and event ingestion service. It can receive and process millions of events per second.

1. Partitioning and Throughput

Unlike a queue, where a message is 'deleted' after it's read, Event Hubs is a 'Playback' log. Multiple consumers can read the same stream at their own pace. Data is partitioned across multiple nodes to handle extreme load (e.g., IoT telemetry or real-time web logs).

2. Capture Feature

With one click, Event Hubs can automatically 'Capture' the incoming stream and save it to **Azure Data Lake** or **Blob Storage**. This allows you to do 'Real-time' processing in .NET while simultaneously heart-beating the data into your data warehouse for long-term analysis.

3. Architect Insight

Q: "Is it like Kafka?"

Architect Answer: "YES! Event Hubs even has a **Kafka-compatible endpoint**. You can use your existing Kafka producers and consumers (like Confluent .NET library) and point them at Event Hubs without changing a single line of code. You get the power of Kafka without the operational nightmare of managing Zookeeper nodes."