
Apache Kafka
Scalable distributed event streaming platform for real‑time data pipelines
- Stars
- 31,431
- License
- Apache-2.0
- Last commit
- 3 days ago
Explore leading tools in the Message Brokers & Queues category, including open-source options and SaaS products. Compare features, use cases, and find the best fit for your workflow.
9 open-source projects · 3 SaaS products
These projects are active, self-hostable choices for knowledge management teams evaluating alternatives to SaaS tools.

Scalable distributed event streaming platform for real‑time data pipelines

Scalable, low‑latency pub‑sub platform for real‑time data streams

Robust multi-protocol messaging broker for cloud-native applications

High-performance, fault-tolerant distributed message queue for modern workloads
Scalable distributed event streaming platform for real‑time data pipelines
Apache Kafka delivers high‑throughput, fault‑tolerant event streaming, enabling real‑time analytics, data integration, and mission‑critical applications across heterogeneous environments for thousands of companies.
Understand the commercial incumbents teams migrate from and how many open-source alternatives exist for each product.
Fully managed message queuing service for decoupling and scaling distributed applications
Fully managed enterprise message broker for decoupling applications via message queues and publish/subscribe topics
Global messaging service for event ingestion and fan‑out
Amazon Simple Queue Service (Amazon SQS) is a fully managed message queuing service that makes it easy to decouple and scale microservices, distributed systems, and serverless applications. It allows secure, reliable communication between software components by storing messages in queues, offers at-least-once delivery with multiple redundancy across availability zones, and supports standard or FIFO queues to accommodate different messaging patterns.
Frequently replaced when teams want private deployments and lower TCO.
Browse neighbouring categories in Messaging & Integration to widen your evaluation.