Apache InLong - a one-stop, full-scenario integration framework for massive data
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Updated
Jun 14, 2024 - Java
Apache InLong - a one-stop, full-scenario integration framework for massive data
Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
🦎 A multi-protocol, event-native proxy. Securely interface web apps, IoT clients, & microservices to Apache Kafka® via declaratively defined, stateless APIs.
EventMesh is a new generation serverless event middleware for building distributed event-driven applications.
Kafka Web UI
Open-Source Web UI for managing Apache Kafka clusters
A Kafka source connector capturing Scylla CDC changes
Open-Source Web UI for Apache Kafka Management
Kafka-on-Pulsar - A protocol handler that brings native Kafka protocol to Apache Pulsar
Kafka Event Streaming
Microservices Java/Spring-Boot Saga Orchestration - Use Case using Transactional Outbox + Change Data Capture with Debezium
Apache Pulsar Adapters
Apache Pulsar Connectors
A StreamNative library containing a collection of recipes that are implemented on top of the Pulsar client to provide higher-level functionality closer to the application domain.
Apache Pulsar Presto Connector
Kipes SDK - The High-Level Event Processing SDK.
Pulsar IO Kafka Connector
Event streaming is a method of data processing that involves the continuous collection, processing, and analysis of data in real-time as it is generated by different sources. In this approach, data is treated as a continuous stream of events, rather than as a batch of data that is processed periodically.
This is an example project to demonstrate how to use debezium to capture data changes as events from SpringBoot application to kafka, and consume these events at downstream application.
Add a description, image, and links to the event-streaming topic page so that developers can more easily learn about it.
To associate your repository with the event-streaming topic, visit your repo's landing page and select "manage topics."