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Heron

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Kafka Streams

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Heron vs Kafka Streams: What are the differences?

Heron: Realtime, distributed, fault-tolerant stream processing engine from Twitter. Heron is realtime analytics platform developed by Twitter. It is the direct successor of Apache Storm, built to be backwards compatible with Storm's topology API but with a wide array of architectural improvements; Kafka Streams: A client library for building applications and microservices. It is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.

Heron and Kafka Streams can be categorized as "Stream Processing" tools.

Heron is an open source tool with 3.38K GitHub stars and 601 GitHub forks. Here's a link to Heron's open source repository on GitHub.

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Pros of Heron
Pros of Kafka Streams
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    Support most popular container environment
  • 1
    Highly Customizable
  • 1
    Operation friendly
  • 1
    Realtime Stream Processing
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    What is Heron?

    Heron is realtime analytics platform developed by Twitter. It is the direct successor of Apache Storm, built to be backwards compatible with Storm's topology API but with a wide array of architectural improvements.

    What is Kafka Streams?

    It is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.

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    What companies use Heron?
    What companies use Kafka Streams?
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    What tools integrate with Heron?
    What tools integrate with Kafka Streams?
      No integrations found

      Blog Posts

      Jun 24 2020 at 4:42PM

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      What are some alternatives to Heron and Kafka Streams?
      Apache Flink
      Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
      Pelican
      Pelican is a static site generator that supports Markdown and reST syntax. Write your weblog entries directly with your editor of choice (vim!) in reStructuredText or Markdown.
      Apache NiFi
      An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
      Confluent
      It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream
      Apache Storm
      Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.
      See all alternatives