SQL stream processing, analytics, and management. We decouple storage and compute to offer instant failover, dynamic scaling, speedy bootstrapping, and efficient joins.
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Updated
Jun 29, 2024 - Rust
SQL stream processing, analytics, and management. We decouple storage and compute to offer instant failover, dynamic scaling, speedy bootstrapping, and efficient joins.
The database purpose-built for stream processing applications.
👾Scripts and samples to support Confluent Demos and Talks.
Data API Framework for AI Agents and Data Apps
Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required
Tutorials and Recipes for Apache Kafka
Learn the basics of Apache Kafka® from leaders in the Kafka community with these video courses covering the Kafka ecosystem and hands-on exercises.
Kryptonite for Kafka is a client-side 🔒 field level 🔓 cryptography library for Apache Kafka® offering a Kafka Connect SMT, ksqlDB UDFs, and a standalone HTTP API service. It's an ! UNOFFICIAL ! community project
Experiment with Kafka, Debezium, and ksqlDB. research-service: Performs MySQL record manipulation. Source Connectors: Monitor MySQL changes, push messages to Kafka. Sink Connectors and kafka-research-consumer: Listen to Kafka, insert/update Elasticsearch. ksqlDB-Server: Listens to Kafka, performs joins, and pushes new messages to new Kafka topics.
Kafka is not for event sourcing, isn't it? Kafka alone is not an event store, but Kafka and ksqlDB together allow building full-featured event stores. This repository provides a sample of event sourced system that uses Kafka and ksqlDB as event store.
Node.js client for ksqlDB
Kattlo CLI Project
Data Engineering examples covering Airflow and Mage for workflows; dbt for BigQuery, Redshift, ClickHouse; Spark and Kafka for Batch/Streaming Processing
Saga Pattern Showcase - choreography implementation with quarkus, debezium, elastic search - orchestrator with ksqlDB
This demo shows how to stream data to cloud databases with Confluent. It includes fully-managed connectors (Oracle CDC, RabbitMQ, MongoDB Atlas), ksqlDB/Flink SQL as stream processing engine.
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