Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
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Updated
Dec 19, 2024 - Java
Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
Open-Source Web UI for Apache Kafka Management
Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging.
Ruby and Rails efficient Kafka processing framework
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
Apache Kafka client for Python; high-level & low-level consumer/producer, with great performance.
docker-compose.yml files for cp-all-in-one , cp-all-in-one-community, cp-all-in-one-cloud, Apache Kafka Confluent Platform
The Confluent Platform Helm charts enable you to deploy Confluent Platform services on Kubernetes for development, test, and proof of concept environments.
[PROJECT IS NO LONGER MAINTAINED] Code examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark Streaming 1.1+, while using Apache Avro as the data serialization format.
Open-Source Web UI for managing Apache Kafka clusters
Apache Kafka .NET Framework to create applications simple to use and extend.
💱 Trading application written in Scala 3 that showcases an Event-Driven Architecture (EDA) and Functional Programming (FP)
Modern C++ Apache Kafka client library (wrapper for librdkafka)
Database replication platform that leverages change data capture. Stream production data from databases to your data warehouse (Snowflake, BigQuery, Redshift, Databricks) in real-time.
A list about Apache Kafka
Kafka-based Job Queue for Python
Lightweight message bus interface for .NET (pub/sub and request-response) with transport plugins for popular message brokers.
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
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