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Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

The database purpose-built for stream processing applications.

Upserts, Deletes And Incremental Processing on Big Data.

Stream Processing and Complex Event Processing Engine

Distributed Stream and Batch Processing

A microservices-based Streaming and Batch data processing in Cloud Foundry and Kubernetes

Framework for building Event-Driven Microservices

Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.

Extensible data integration Java framework for building XML and non-XML fragment-based applications

Tutorials and Recipes for Apache Kafka

Elastic data processing with Apache Pulsar and Apache Flink

Source code for the Kafka Streams in Action Book

Dagger is an easy-to-use, configuration over code, cloud-native framework built on top of Apache Flink for stateful processing of real-time streaming data.

This is the central repository for all materials related to Kafka Streams : Real-time Stream Processing! Book by Prashant Pandey.

An online code compiler supporting 11 programming languages (Java, Kotlin, Scala, C, C++, C#, Golang, Python, Ruby, Rust and Haskell) for competitive programming and coding interviews.

Stream Discovery and Stream Orchestration

Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.

Simple examle for Spark Streaming over Kafka topic

Apache Flink connectors for Pravega.