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Apache NiFi

338
681
+ 1
65
MassTransit

86
170
+ 1
0
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Apache NiFi vs MassTransit: What are the differences?

What is 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.

What is MassTransit? Lightweight message bus for creating distributed applications. MassTransit is free software/open-source .NET-based Enterprise Service Bus software that helps Microsoft developers route messages over MSMQ, RabbitMQ, TIBCO and ActiveMQ service busses, with native support for MSMQ and RabbitMQ.

Apache NiFi can be classified as a tool in the "Stream Processing" category, while MassTransit is grouped under "Message Queue".

Some of the features offered by Apache NiFi are:

  • Web-based user interface
  • Highly configurable
  • Data Provenance

On the other hand, MassTransit provides the following key features:

  • Message-based communication
  • Reliable
  • Scalable
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Pros of Apache NiFi
Pros of MassTransit
  • 17
    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
  • 3
    End-to-end security between all nodes
  • 2
    Built-in graphical user interface
  • 2
    Can handle messages up to gigabytes in size
  • 2
    Data provenance
  • 1
    Lots of documentation
  • 1
    Hbase support
  • 1
    Support for custom Processor in Java
  • 1
    Hive support
  • 1
    Kudu support
  • 1
    Slack integration
  • 1
    Lot of articles
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    Cons of Apache NiFi
    Cons of MassTransit
    • 2
      HA support is not full fledge
    • 2
      Memory-intensive
    • 1
      Kkk
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      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.

      What is MassTransit?

      It is free software/open-source .NET-based Enterprise Service Bus software that helps Microsoft developers route messages over MSMQ, RabbitMQ, TIBCO and ActiveMQ service busses, with native support for MSMQ and RabbitMQ.

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

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

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      What are some alternatives to Apache NiFi and MassTransit?
      Kafka
      Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
      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.
      Logstash
      Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
      Apache Camel
      An open source Java framework that focuses on making integration easier and more accessible to developers.
      Apache Spark
      Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
      See all alternatives