The Oryx open source project provides infrastructure for lambda-architecture applications on top of Spark, Spark Streaming and Kafka. On this, it provides further support for real-time, large scale machine learning, and end-to-end applications of this support for common machine learning use cases, like recommendations, clustering, classification and regression.
  

Oryx 2 - Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

ThingsBoard is an open-source IoT platform for data collection, processing, visualization, and device management. It enables device connectivity via industry standard IoT protocols - MQTT, CoAP and HTTP and supports both cloud and on-premises deployments. ThingsBoard combines scalability, fault-tolerance and performance so you will never lose your data.
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It helps to provision and manage devices and assets, Collect and visualize data, Raise alarms on incoming telemetry events, Construct your ThingsBoard cluster and get maximum scalability and fault-tolerance with microservices architecture. Construct your ThingsBoard cluster and get maximum scalability and fault-tolerance with microservices architecture. 

ThingsBoard is an open-source IoT platform for data collection, processing, visualization, and device management. It enables device connectivity via industry standard IoT protocols - MQTT, CoAP and HTTP and supports both cloud and on-premises deployments. ThingsBoard combines scalability, fault-tolerance and performance so you will never lose your data.

ThingsBoard - IoT platform for data collection, processing, visualization, and device management

Kafdrop is a web UI for viewing Kafka topics and browsing consumer groups. The tool displays information such as brokers, topics, partitions, consumers, and lets you view messages.

Kafdrop – Kafka Web UI

Debezium is a distributed platform that turns your existing databases into event streams, so applications can see and respond immediately to each row-level change in the databases. Debezium is built on top of Apache Kafka and provides Kafka Connect compatible connectors that monitor specific database management systems. Debezium records the history of data changes in Kafka logs, from where your application consumes them. This makes it possible for your application to easily consume all of the events correctly and completely.

Debezium - Stream changes from your databases.

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Projects

Oryx 2 - Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

ThingsBoard - IoT platform for data collection, processing, visualization, and device management

Kafdrop – Kafka Web UI

Debezium - Stream changes from your databases.

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Projects

Oryx 2 - Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

ThingsBoard - IoT platform for data collection, processing, visualization, and device management

Kafdrop – Kafka Web UI

Debezium - Stream changes from your databases.

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