Apache Kafka: Enterprise Messaging in a Scale-Out World - Product Image

Apache Kafka: Enterprise Messaging in a Scale-Out World

  • ID: 4382914
  • Company Profile
  • Region: Global
  • 10 pages
  • Ovum
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Introduction:

The emergence of streaming and use cases such as IoT brings with it the need for a traffic cop that can operate at massively distributed scale. Apache Kafka emerged quietly and today has been adopted by nearly a third of the Fortune 500. Kafka still has rough edges with regards to security and administration, but its adoption rates and commercial support show that this emerging messaging platform is here to stay.

Highlights:
  • Apache Kafka is an open-source project that takes PubSub messaging and blows it up to massively distributed scale.
  • Kafka has drawn wide support for messaging, but not for the Streaming and Connect APIs of the Apache open-source project.
  • Kafka's prime competition is not messaging busses per se, but data flow engines that manage downstream integration of ingested data
Features and benefits:
  • Explores Kafka's technology and level of market maturity.
  • Analyzes Kafka's benefits for fast-data use cases, especially its ability to operate at massive scale, serving multiple targets, with very high performance.
  • Discusses requirements for bolstering Kafka's security.
Key Questions answered:
  • Why has Kafka become popular as the next-generation distributed messaging engine for big-data and fast-data use cases?
  • What are Kafka's strengths and shortcomings?
  • What is the competitive landscape for Kafka?
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1. Summary
  • Catalyst
  • Publisher's view
  • Key messages
2. Recommendations
  • Recommendations for enterprises
  • Recommendations for vendors
3. Reinventing messaging for massive, distributed environments
  • What is Kafka?
  • Not your father’s messaging middleware
  • Kafka’s architecture
  • How Kafka is being used
4. Competitive landscape
  • Commercial support is wide but shallow
  • Confluent addresses Kafka management tooling gap
  • Kafka’s teething issues
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