Real time data processing system based on flink and CEP
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Updated
Mar 27, 2024 - Java
Real time data processing system based on flink and CEP
A stream processing runtime that allows connecting any streaming data source to any destination and act on it
Siddhi streaming runtime and tooling distribution
Extension that can be used to receive events from a Kafka cluster and to publish events to a Kafka cluster
Operator allows you to run stream processing logic directly on a Kubernetes cluster
Extension which is used to convert JSON message to/from Siddhi events
Docker resources for Siddhi cloud-native streaming
Siddhi SDK for IntelliJ Idea Plugin & PySiddhi
Extension that allows to receive and publish events from/to rabbitmq broker.
Extension that can be used to communicate (publish/subscribe) with an instance of the nats-streaming server
Extension that adds support for inferences from pre-built TensorFlow SavedModels
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