Event Streaming
Showing 14 of 14 projects
A distributed event streaming platform for building high-performance data pipelines, streaming analytics, and data integration.
A distributed cloud-native messaging and streaming platform for building event-driven applications with high performance and reliability.
A distributed cloud-native messaging and streaming platform for building event-driven applications with low latency and high reliability.
A distributed pub-sub messaging platform with flexible messaging models, strong consistency, and multi-tenant support.
A low-latency platform for change data capture (CDC) that streams row-level changes from databases to applications.
A Go client library for Apache Kafka with comprehensive API support and testing utilities.
A Kafka-compatible streaming data platform that's 10x faster, with no ZooKeeper or JVM.
Enterprise-grade event streaming platform that continuously ingests, processes, and serves real-time data with Apache Iceberg™ integration.
An enterprise-grade event streaming platform that ingests, processes, and manages real-time event data with PostgreSQL compatibility and Apache Iceberg™ integration.
A Docker image and configuration for running Apache Kafka in containerized environments.
An asynchronous Python framework for building services that interact with Apache Kafka, RabbitMQ, NATS, and Redis event streams.
A source-agnostic distributed change data capture system for reliably capturing and streaming primary data changes.
A Node.js client for Apache Kafka 0.9 and later, providing producers, consumers, and administrative APIs.
A high-performance, lightweight reliable streaming platform built on NATS messaging.
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