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DirectoryData & AnalyticsStreaming & Real-Time AnalyticsAzure Event Hubs

Azure Event Hubs

About Azure Event Hubs

It streams events from any source to build data pipelines. It includes geo-disaster recovery and geo-replication features to keep processing data during emergencies. It supports protocols including AMQP, HTTPS, and Apache Kafka.

Products

  • Event Hubs Capture: Sends data to Blob storage or Data Lake Storage for long-term retention or micro-batch processing.
  • Azure Event Hubs for Apache Kafka: Connects Event Hubs with Kafka applications and clients.

Used for

  • Sending data to storage for long-term retention or micro-batch processing
  • Connecting Kafka applications and clients without code changes
  • Building serverless streaming solutions with Stream Analytics
  • Ingesting and processing data locally on Azure Stack Hub for hybrid cloud architectures

From Azure Event Hubs's own website, read 2026-10-23. How we build listings.

How to evaluate Streaming & Real-Time Analytics

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Azure Event Hubs. It comes from our Streaming Data & Event Processing buyer guide.

25%
Throughput, Latency & Durability
Sustained throughput and tail latency at your partition count, ordering and exactly-once / at-least-once delivery guarantees, replication and multi-AZ durability, retention limits, and behavior under broker failure and rebalancing
20%
Operating Model & Architecture
Self-managed vs. fully managed vs. serverless vs. bring-your-own-cloud, KRaft (post-ZooKeeper) operations, diskless / object-storage-backed options, autoscaling, partition rebalancing, and upgrade and patching burden on your team
20%
Kafka-API Compatibility & Portability
Fidelity of the Kafka protocol (consumer groups, transactions, compaction), reuse of existing clients, connectors and tooling, lock-in to a single cloud, and the realistic effort to migrate in or out
15%
Stream Processing & Ecosystem
Native or integrated processing (Flink, Kafka Streams, Spark Structured Streaming, ksqlDB), connector catalog (CDC, sinks, sources), schema registry and governance, and direct landing into Iceberg / Delta lakehouse tables
10%
Security, Governance & Compliance
Encryption in transit and at rest, mTLS / SASL / OAuth and RBAC, audit logging, private networking, data residency and BYOC data-boundary control, and SOC 2 / ISO 27001 / GDPR coverage
10%
Cost Model & Economics at Scale
Pricing unit (capacity / throughput / consumption), inter-AZ and egress charges, storage and retention cost, processing billed separately, and how the bill behaves as volume, partitions, and connectors grow

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Quick Facts

azure.microsoft.com/en-us/services/event-hubs
CategoryData & Analytics
SubcategoryStreaming & Real-Time Analytics
PricingUsage-based

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