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Apache Camel

563
217
+ 1
21
Apache NiFi

256
522
+ 1
62
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Apache Camel vs Apache NiFi: What are the differences?

Apache Camel: A versatile open source integration framework. An open source Java framework that focuses on making integration easier and more accessible to developers; Apache NiFi: A reliable system to process and distribute data. 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.

Apache Camel belongs to "Integration Tools" category of the tech stack, while Apache NiFi can be primarily classified under "Stream Processing".

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Pros of Apache Camel
Pros of Apache NiFi
  • 5
    Based on Enterprise Integration Patterns
  • 4
    Free (open source)
  • 4
    Highly configurable
  • 3
    Open Source
  • 3
    Has over 250 components
  • 2
    Has great community
  • 15
    Visual Data Flows using Directed Acyclic Graphs (DAGs)
  • 8
    Free (Open Source)
  • 7
    Simple-to-use
  • 5
    Scalable horizontally as well as vertically
  • 5
    Reactive with back-pressure
  • 4
    Fast prototyping
  • 3
    Bi-directional channels
  • 2
    Data provenance
  • 2
    Built-in graphical user interface
  • 2
    End-to-end security between all nodes
  • 2
    Can handle messages up to gigabytes in size
  • 1
    Hbase support
  • 1
    Kudu support
  • 1
    Hive support
  • 1
    Slack integration
  • 1
    Support for custom Processor in Java
  • 1
    Lot of articles
  • 1
    Lots of documentation

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Cons of Apache Camel
Cons of Apache NiFi
    Be the first to leave a con
    • 2
      HA support is not full fledge
    • 2
      Memory-intensive

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    - No public GitHub repository available -

    What is Apache Camel?

    An open source Java framework that focuses on making integration easier and more accessible to developers.

    What is 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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Apache Camel?
    What companies use Apache NiFi?
    See which teams inside your own company are using Apache Camel or Apache NiFi.
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    What tools integrate with Apache Camel?
    What tools integrate with Apache NiFi?

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    What are some alternatives to Apache Camel and Apache NiFi?
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    ActiveMQ
    Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.
    Spring Batch
    It is designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. It also provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management.
    RabbitMQ
    RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
    Talend
    It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.
    See all alternatives