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API Management, Cloud, Cloud-Native, Microservices, SOA

Comparison of Open Source IoT Integration Frameworks

  • November 3, 2016

In November 2016, I attended Devoxx conference in Casablanca. Around 1500 developers participated. A great event with many awesome speakers and sessions. Hot topics this year besides Java: Open Source Frameworks, Microservices (of course!), Internet of Things (including IoT Integration), Blockchain, Serverless Architectures.

I had three talks:

  • How to Apply Machine Learning to Real Time Processing
  • Comparison of Open Source IoT Integration Frameworks
  • Tools in Action – Live Demo of Open Source Project Flogo

In addition, I was interviewed by the Voxxed team about Big Data, Machine Learning and Internet of Things. The video will be posted on Voxxed website in the next weeks.

You can find several slides and video recordings about my big data / machine learning topic on my blog / website. Therefore, I will focus on the open source IoT frameworks in this post.

Open Source Integration Frameworks for the Internet of Things

Internet of Things (IoT) and edge integration are getting more important than ever before due to the massively growing number of connected devices year by year. In this talk, I showed open source frameworks built to develop very lightweight microservices. These can be deployed on small devices or in cloud native containers / serverless architectures with very low resource consumption to wire together all different kinds of hardware devices, APIs and online services.

The focus of this session was to discuss open source process engines such as Eclipse Kura (in conjunction with Apache Camel), Node-RED or Flogo. These offer a framework plus zero-code environment with Web IDE for building and deploying IoT integration and data processing directly onto IoT gateways and connected devices. For that, they leverage IoT standards such as MQTT, WebSockets or CoaP, but also other interfaces such as Twitter feeds or REST services.

The session also discussed the relation to other components in a IoT architecture including:

  • Open source dataflow pipelines (like Apache NiFi / MiNiFy, StreamSets or Cask Hydrator),
  • Open source stream processing frameworks (such as Apache Storm, Flink, Spark Streaming or Samza)
  • Cloud IoT platforms (such as AWS IoT, Cloud IoT Cloud Platform or IBM’s open source serverless framework OpenWhisk).

Slide Deck: Apache Nifi vs. StreamSets vs. Eclipse Kura vs. Node-RED vs. Flogo vs. Others

Here is the slide deck about different alternatives for IoT integration:

http://www.slideshare.net/KaiWaehner/iot-open-source-integration-comparison-kura-nodered-flogo-apache-nifi-streamsets

Video Recording: Integration Frameworks for the Internet of Things

And here is the video recording where I walk through the above slide deck and also show live demos of Node-Red and Flogo:

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Kai Waehner
bridging the gap between technical innovation and business value for data integration, workflow orchestration, and agentic AI.
Tag Cloud
AI Analytics Apache Apache Camel apache kafka AWS Azure Big Data Cloud Cloud-Native Confluent Data Streaming Deep Learning EAI Edge Enterprise Application Integration ESB ETL event streaming flink Hadoop Hybrid IBM IIoT Integration IoT J2EE Java JEE kafka Kafka Connect kafka streams KSQL machine learning microservices middleware MQTT open source Oracle Real Time SaaS Spark Streaming Analytics Stream Processing TIBCO
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