Gartner Research

Streaming Architectures With Kafka

Published: 26 September 2019

ID: G00387169

Analyst(s): Sumit Pal , Sanjeev Mohan


Organizations are shifting from traditional processing on databases and batch to a streaming-first approach. Event brokers like Kafka are becoming critical for such solutions. This research helps data and analytics technical professionals understand and implement Kafka-based solutions.

Table Of Contents


  • What Is Kafka?
    • Detailed Kafka Architecture
    • Publishing Data to Kafka
    • Consuming Data From Kafka
    • Exactly Once and Transaction Support
    • Kafka Brokers
    • Rebalancing
    • Interfacing With Kafka
  • Kafka Ecosystem
  • Kafka Use Cases
    • ETL/ELT With Kafka
    • Change Data Capture
    • Kafka as a Database
    • Kafka for Event-Driven Architectures
  • Kafka Alternatives
    • Kafka and RabbitMQ
    • Kafka and Pulsar
    • Kafka, Amazon Kinesis, Azure Event Hubs and Google Cloud Pub/Sub — A Quick Comparison
  • Strengths
  • Weaknesses


  • Best Practices
  • Deciding on Kafka
  • Deployment Options
    • Kafka on Kubernetes
  • Scaling Kafka
  • Performance Tuning
  • Monitoring Kafka
  • Schema Registry
  • Security in Kafka
  • Testing With Kafka
  • Tools in the Kafka Ecosystem

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