Event Streaming
Showing 27 of 27 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.
A one-stop, full-scenario integration framework for massive data, supporting data ingestion, synchronization, and subscription.
A distributed data pipeline service for collecting, aggregating, and dispatching large volumes of application events and log data.
A stateless, multi-protocol proxy that bridges web apps, IoT devices, and microservices directly to Apache Kafka via declarative APIs.
A .NET stream processing library for Apache Kafka, providing a Kafka Streams-like API for building real-time applications.
A .NET stream processing library for Apache Kafka, providing a Kafka Streams-like API for building real-time applications.
An HTTP bridge enabling HTTP 1.1 clients to send and receive messages to/from Apache Kafka clusters.
A distributed, scalable database built for stream processing applications on Apache Kafka using SQL syntax.
A Go client library for interacting with the Marathon container orchestration platform API.
An opinionated Elixir wrapper around the Brod Kafka client with built-in support for Heroku Kafka and encrypted connections.
A lightweight, thread-safe, append-only in-memory log data structure inspired by Kafka, for Go applications.
A PostgreSQL extension that enables sending messages directly to Apache Kafka from within the database.
.NET Standard client library for sending and receiving events with Azure Event Hubs.
A Go library for building event-driven and event streaming applications with support for event sourcing, RPC over messages, and SAGA patterns.
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