Open-source Event Streaming Platforms:
Apache Kafka:
Highly scalable and reliable platform for high-volume data streams, widely used for building real-time applications.
Apache Pulsar:
Distributed streaming platform with strong messaging capabilities and support for multiple protocols.
Apache Flink:
Stream processing engine for analyzing and reacting to data streams in real-time.
Apache RocketMQ:
High-performance, open-source messaging platform with low latency and strong persistence.
Apache Samza:
Stream processing framework for building real-time applications with low latency and fault tolerance.
Open-source Event Bus/Message Queues:
RabbitMQ:
Lightweight and general-purpose message queue system, suitable for simple tasks and microservices communication.
ActiveMQ:
Highly scalable and flexible message queue system, supporting various protocols and integrations.
NATS:
High-performance messaging platform with low latency and strong security features, ideal for real-time communication.
Redis Streams:
Stream data structure within the Redis data store, suitable for real-time processing of data feeds.
Commercial Event Streaming Platforms:
Amazon Kinesis:
Scalable and managed event streaming service from Amazon Web Services (AWS).
Azure Event Hubs:
Cloud-based event streaming service from Microsoft Azure.
Google Cloud Pub/Sub:
High-throughput and reliable event streaming service from Google Cloud Platform (GCP).
Solace PubSub+:
Comprehensive platform for event streaming and management with hybrid and multi-cloud support.
Confluent Platform:
Enterprise-grade streaming platform based on Apache Kafka, offering additional features and support.
Event-Driven Frameworks and Libraries:
Spring Cloud Stream:
Framework for building microservices-based applications with message-driven communication.
Akka Streams:
Reactive streams library for building scalable and resilient event-driven applications.
RxJava:
Reactive programming library for asynchronous and event-driven programming.
Eventuate:
Framework for building event-sourced applications with high availability and scalability.
Leave a Reply