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Hutch vs StreamSets: What are the differences?
Hutch: Inter-Service Communication with RabbitMQ. Hutch is a Ruby library for enabling asynchronous inter-service communication in a service-oriented architecture, using RabbitMQ; StreamSets: Where DevOps Meets Data Integration. The industry's first data operations platform for full life-cycle management of data in motion.
Hutch can be classified as a tool in the "Message Queue" category, while StreamSets is grouped under "Data Science Tools".
Some of the features offered by Hutch are:
- A simple way to define consumers (queues are automatically created and bound to the exchange with the appropriate binding keys)
- An executable and CLI for running consumers (akin to rake resque:work)
- Automatic setup of the central exchange
On the other hand, StreamSets provides the following key features:
- Build Batch & Streaming Pipelines in Hours
- Map and Monitor Runtime Performance
- Protect Sensitive Data as it Arrives
Hutch is an open source tool with 713 GitHub stars and 104 GitHub forks. Here's a link to Hutch's open source repository on GitHub.
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Cons of Hutch
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Cons of StreamSets
- No user community2
- Crashes1
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What is Hutch?
Hutch is a Ruby library for enabling asynchronous inter-service communication in a service-oriented architecture, using RabbitMQ.
What is StreamSets?
An end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps.
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