Azure Event Hubs vs Azure Service Bus

Azure Event Hubs vs Azure Service Bus

19 Aug 2025
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Azure Event Hubs and Azure Service Bus are messaging services from Microsoft Azure. They are designed for different purposes. Azure Event Hubs is tailored for high-throughput, real-time event streaming used in analytics and IoT data. In contrast, Azure Service Bus is aimed at secure, dependable message delivery for enterprise applications, complex integrations, and transactional workflows.

Each service has specific strengths. How do you decide which one is right for your project? In this Azure tutorial, you will explore Azure Event Hubs and Azure Service Bus difference, looking at their features, use cases, pricing, andore to help you make a decision in 2025, which one to choose. Let's dive in!

What is Azure Event Hubs?

Azure Event Hubs is a managed, high-throughput event streaming platform. It is designed to ingest, process, and analyze large amounts of data from applications, devices, and IoT endpoints. Built for real-time scenarios, it can handle millions of events per second, making it a popular choice for big data streaming and telemetry processing. Its publish/subscribe model allows multiple consumers to process events at the same time. Partitioning and consumer groups help with scalability and load balancing.

Key Features and Components

  • Producers: Send events to Event Hubs, with a maximum size of 1 MB per event or batch. Events that exceed this limit are rejected.
  • Consumer Groups:Consumer groups enable multiple applications or services to independently consume events from a single Event Hub.Each application maintains its own offset for flexible processing.
  • Partitions: Event Hub breaks the event stream into ordered sequences. This design allows for parallel processing, improving scalability and throughput. Publishers should not be concerned with the specific partitioning model used by an event hub. Publishers use a partition key to ensure related events go to the same partition.
  • Checkpoints: Event Hub supports checkpoints to enable fault tolerance and resumable event processing. Store consumer offsets in a partition. This feature enables fault tolerance and allows processing to resume after failures or restarts.

Use Cases of Azure Event Hubs

  1. IoT Telemetry Processing:Ingest real-time sensor data from IoT devices for monitoring and predictive maintenance.
  2. Clickstream Analytics:Capture user interactions on websites or apps for behavior analysis and personalization.
  3. Application Monitoring: Stream logs and performance metrics for instant alerting and troubleshooting.
  4. Fraud Detection: Feed transaction events into AI/ML models for real-time anomaly detection.
  5. Live Dashboards: Power real-time business dashboards using Azure Stream Analytics and Power BI.

Azure Event Hubs in 2025

  • In 2025, Azure Event Hubs is becoming more integrated with Azure AI for real-time analytics.
  • For instance, it can identify anomalies in IoT data. Its compatibility with serverless architectures, such as Azure Functions triggers, makes it essential for modern and scalable applications.
  • For example, businesses use Event Hubs to process streaming data from smart devices and send it to Azure Stream Analytics for real-time insights

How Azure Event Hub Works? 

Azure Event Hub operates as a distributed event streaming platform with a sophisticated architecture designed for massive-scale data ingestion.

how azure event hub works

In the diagram:

  • Consumer group 1 is reading all partitions and sending data to Event Receivers in one context (e.g., a real-time analytics app).
  • Consumer group 2 is also reading all partitions but independently (e.g., for storage or batch processing).
  • Producers send events to Event Hubs via supported protocols.
  • Events are stored in partitions for scalability and ordered processing.
  • Consumer groups allow multiple independent readers of the same data stream.
  • Event receivers in each consumer group process data at their own pace.

What is Azure Service Bus?

Azure Service Bus is a reliable messaging service designed to separate applications and services. It supports two main messaging models: queues for direct communication and topics/subscriptions for publish/subscribe scenarios. With features like guaranteed message delivery and first-in-first-out ordering, Azure Service Bus is well-suited for enterprise messaging, microservices, and application integration.

Key Features and Components

  • Queues: Offer one-to-one messaging with FIFO delivery, ensuring messages are processed in order and stored reliably. They ensure that messages are processed in the order they are received and guarantee message persistence.
  • Topics:Service Bus allows publish/subscribe messaging, where messages sent to a topic are delivered to multiple subscriptions, with optional filtering. Subscribers can filter messages based on specific criteria, allowing for efficient message distribution.
  • Session-Enabled Entities:Session-enabled entities provides guaranteed FIFO for queue and topics. Ensure strict FIFO ordering by grouping messages with the same SessionID. This creates virtual sub-queues for related messages.
  • Parallelism and Throttling: Configurable settings like MaxConcurrentCalls and PrefetchCount improve performance and prevent overloading consumers.

Use Cases of Azure Service Bus

  1. Order Processing Systems: Handle customer orders reliably with guaranteed delivery and strict sequencing.
  2. Microservices Communication:Enable loosely coupled services to communicate in distributed architectures.
  3. Financial Transactions:Process payments and transfers with transactional consistency.
  4. Inventory Management:Synchronize stock updates across multiple systems in real time.
  5. Workflow Automation:Coordinate multi-step business processes using queues, topics, and subscriptions.

Azure Service Bus in 2025

  • Azure Service Bus is becoming more popular in microservices architectures for reliable communication between services.
  • Improved security features, including OAuth 2.0 authentication, make it a preferred option for enterprise applications that need to meet strict compliance and governance standards.

The Architecture of Azure Service Bus

Azure Service Bus provides three types of communication mechanisms: queues, topics, and relays. These components offer flexibility in designing messaging solutions for various scenarios.

  • Queues and Topics enable one-directional communication, where messages are stored until consumed.
  • Each message in a Queue is delivered to a single recipient.
  • Topics can have multiple subscriptions, allowing multiple receivers to process messages.
  • Subscriptions can filter messages based on specific parameters.
  • Messages from Queues and Topics can be accessed using Service Bus-defined messaging APIs or REST APIs.
  • SDKs are available for multiple programming languages to work seamlessly with these components.
  • Unlike Queues and Topics, Relays provide bi-directional communication and do not store messages.
  • To use these messaging services, you need to create a namespace under your Azure subscription. A namespace acts as a logical container for messaging components, allowing multiple Service Bus entities (Queues, Topics, and Relays) to coexist within it.

Azure Service Bus Architecture

Figure : Architecture - System implementation using Azure Service Bus components

Azure Event Hub vs Azure Service Bus – Key Differences

FeatureAzure Event HubAzure Service Bus
PurposeBig data streaming and real-time event ingestion serviceEnterprise messaging service for reliable communication
Best ForTelemetry, IoT data, clickstreams, and event-driven analyticsTransactional workflows, order processing, and enterprise integration
Data FlowOne-way event streaming (producer → consumer)Two-way messaging with queues and topics
Message Size Limit1 MB per event or batchUp to 256 KB (Standard tier) or 1 MB (Premium tier)
Order GuaranteeOnly within a partitionSupported via sessions
Pattern SupportEvent streaming, publish/subscribe via consumer groupsPoint-to-point, publish/subscribe, request/reply
Typical Use CasesIoT telemetry, log analytics, live dashboardsOrder systems, financial transactions, business workflows
IntegrationWorks with Azure Stream Analytics, Functions, DatabricksWorks with Logic Apps, Functions, API Management

Azure Event Hub vs Azure Service Bus: Detailed Feature-by-Feature Comparison

Purpose and Use Cases

  • Azure Event Hub is great for scenarios that need real-time ingestion and processing of large event streams, including IoT telemetry, application logs, and clickstream analytics.
  • Azure Service Bus is best for separating applications in microservices or enterprise workflows where dependable message delivery and transactional processing are essential.

Messaging Models

  • Azure Event Hub uses a publish/subscribe model that is optimized for fast data streaming.
  • Azure Service Bus supports both queue-based messaging (FIFO) and topic-based publish/subscribe models, allowing for more flexible communication patterns.

Throughput and Scalability

  • Azure Event Hub is designed for very high throughput. It can handle millions of events per second and scale dynamically based on demand.
  • Azure Service Bus is made for moderate throughput, emphasizing reliability, guaranteed delivery, and strict ordering instead of raw speed.

Message Retention

  • Azure Event Hub keeps events for 1 to 7 days by default, which can be extended to 90 days in the Premium tier. This makes it suitable for replay and batch processing.
  • Azure Service Bus provides longer retention of up to 14 days, which is ideal for persistent messaging and workflows that may need delayed processing.

Protocols

  • Azure Event Hub supports AMQP 1.0 and HTTP for sending and receiving events.
  • Azure Service Bus supports AMQP 1.0, HTTP, and HTTPS, providing broader integration and compatibility.

Ordering and Sessions

  • Azure Event Hub keeps event ordering within a partition, ensuring related data streams stay in sequence.
  • Azure Service Bus offers session-enabled entities to ensure strict FIFO ordering for messages that belong to the same workflow or transaction.

Pricing Comparison: Azure Event Hubs vs Azure Service Bus

Cost is a critical factor when choosing between Azure Event Hubs and Azure Service Bus. Below is a breakdown of their pricing structures based on Azure’s latest pricing model.

Azure Event Hubs

  • Pricing Model: Based on throughput units (Standard) or processing units (Premium), plus data retention and capture costs.
  • Standard Tier: Each Throughput Unit supports up to 1 MB/s ingress and 2 MB/s egress, priced per unit/hour.
  • Premium Tier: Fixed Processing Units with higher performance, dedicated resources, and up to 90-day retention.
  • Basic Tier: Low-cost option for small workloads, without features like Capture or extended retention.
  • Choose Event Hubs:If you have high-throughput, streaming workloads—pricing scales with throughput units.

Azure Service Bus

  • Pricing Model: Based on messaging operations and brokered connections, with additional charges for premium features.
  • Standard Tier: Charges per million operations, supports topics/queues, sessions, and transactions.
  • Premium Tier: Fixed Messaging Units with predictable performance, dedicated resources, and lower latency.
  • Basic Tier: Queue-only service with limited features and lower cost.
  • Choose Service Bus: If you need transactional messaging and guaranteed delivery, pricing scales with message volume and features.

Azure Event Hub vs. Azure Service Bus – What to Choose?

When deciding between Azure Event Hub and Azure Service Bus, the right choice depends on your workload requirements:

  • Choose Azure Event Hub if you need to ingest and process massive streams of data in real time. It’s perfect for IoT telemetry, clickstream analytics, log aggregation, and any scenario where high throughput and low latency are more important than transactional guarantees.
  • Choose Azure Service Bus if your application requires reliable, ordered, and transactional messaging between components. It’s ideal for enterprise workflows, order processing, and communication between microservices where message integrity and guaranteed delivery are critical.
Conclusion

Both Azure Event Hub and Azure Service Bus are powerful Azure messaging services, but they serve different purposes. Event Hub excels in high-throughput, real-time event streaming for analytics, IoT, and big data scenarios, while Service Bus is built for reliable, transactional messaging in enterprise workflows and microservices communication.

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FAQs

Azure Event Hub is designed for high-throughput, real-time event streaming, while Azure Service Bus focuses on reliable, enterprise-grade message delivery for application integration.

 Choose Event Hub when you need to ingest and process massive event streams, such as IoT telemetry, clickstream data, or real-time analytics. 

Yes. You can use Event Hub for streaming ingestion and then forward processed events to Service Bus for workflow orchestration or downstream processing.

 Service Bus is generally better for microservices because it supports request/response patterns, FIFO queues, and durable message storage. 

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