Event Hubs vs Kafka

Azure Cloud Data Engineering Training in Hyderabad – Quality Thoughts

Quality Thoughts offers one of the best Azure Cloud Data Engineering courses in Hyderabad, ideal for graduates, postgraduates, working professionals, or career switchers. The course combines hands-on learning with an internship to make you job-ready in a short time.

Our expert-led training goes beyond theory, with real-time projects guided by certified cloud professionals. Even if you’re from a non-IT background, our structured approach helps you smoothly transition into cloud roles.

The course includes labs, projects, mock interviews, and resume building to enhance placement success.

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     1. Live Instructor-Led Training

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    5.Career Transition Support

Join us to unlock careers in cloud data engineering. Our alumni work at top companies like TCS, Infosys, Deloitte, Accenture, and Capgemini.

Note: Azure Table and Queue Storage support NoSQL and message handling for scalable cloud apps

Event Hubs vs Kafka

 Azure Event Hubs and Apache Kafka are both distributed streaming platforms used for ingesting and processing large volumes of real-time data. However, they differ in architecture, usage, and integration.

Apache Kafka is an open-source, distributed event streaming platform. It provides high throughput, durability, and scalability. Kafka supports persistent storage, consumer groups, and advanced configurations for performance tuning. It’s widely used for on-premises and cloud deployments requiring full control.

Azure Event Hubs is a fully managed, real-time data ingestion service on Azure. It enables millions of events per second to be received and processed. Event Hubs simplifies setup, auto-scales, and integrates natively with other Azure services like Stream Analytics and Functions.

Key Differences:

Management: Kafka is self-managed; Event Hubs is fully managed.

Integration: Event Hubs integrates easily with Azure ecosystem; Kafka is platform-agnostic.

Protocol: Event Hubs supports Kafka protocol via Event Hubs for Kafka, allowing Kafka clients to connect without changes.

Storage: Kafka allows fine-tuned retention policies; Event Hubs has limited but managed retention.

Use Cases:

Use Kafka when you need fine-grained control, custom configurations, or on-premise deployments.

Use Event Hubs for cloud-native, scalable streaming on Azure with less operational overhead.

Both are powerful, but your choice depends on control vs convenience.

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