kafka
Easy-to-run demo of a CDC pipeline using Debezium (Kafka Connect), PostgreSQL, Redpanda, and ClickHouse.
A model for event interoperability between event producers and their consumers to favor better developer experience, robust integration, and infrastructural efficiency.
The fastest Postgres change data capture.
Stream data from Postgres directly to Kafka, Redis, and more. Replace complex tools like Debezium and consolidate workflows.
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This is Maxwell's daemon, a change data capture application that reads MySQL binlogs and writes data changes as JSON to Kafka, Kinesis, and other streaming platforms.
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Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
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- The New Look and Feel of Apache Kafka 4.0 @ The New Stack.
- Kafka: The End of the Beginning @ Materialized View.
- Optimizing Kafka Tracing with OpenTelemetry: Boost Visibility & Performance @ New Relic.
- Introducing Apache Kafka® 4.1.0: What’s New and How to Upgrade @ Confluent.
- Testing Kafka-based Asynchronous Workflows Using OpenTelemetry @ Signadot.
- Kafka is fast -- I'll use Postgres @ TopicPartition.
A robust message queue system for Rust applications, designed as a Rust alternative to Celery.
Currently Redis-backed, with planned support for RabbitMQ, Kafka, and other message brokers. This is by no means a finished product, but we're actively working on it and would love your feedback and contributions!
The best way of working with Protocol Buffers. Elastic, self-hosted Kafka with Advanced Semantic Intelligence Guarantee streaming data quality and slash cloud costs 10x with Bufstream, a drop-in replacement for Apache Kafka®.
Bufstream is a Kafka-compatible streaming system which stores records directly in an object storage service like S3.
Open-source framework for building asynchronous web services that interact with event streams.
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Open source analytics infrastructure. Fast and scalable. No bloat. GDPR compliant.
A single production-ready Docker image built on ClickHouse, Kafka, and Node.js for tracking events, users, page views, and interactions.
Source Available Reinvented Kafka. 10x Cost Efficiency.
AutoMQ is a cloud-first alternative to Kafka by decoupling durability to S3 and EBS. 10x cost-effective. Autoscale in seconds. Single-digit ms latency.
AutoMQ is a stateless Kafka on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability.
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API Management Platform. Govern, Secure & Manage APIs and Event Streams.
Try the first-ever event-native API Management solution that natively supports synchronous REST APIs, asynchronous APIs, and event brokers like Kafka and MQTT.
Flow collector, enricher and visualizer. This program receives flows (currently Netflow/IPFIX and sFlow), enrice them with interface names (using SNMP), geo information (using MaxMind), and exports them to Kafka, then ClickHouse. It also exposes a web interface to browse the collected data.
Apache Kafka on Kubernetes in a few minutes. Strimzi provides a way to run an Apache Kafka cluster on Kubernetes in various deployment configurations.