Which event streaming platforms are known for high throughput and durable delivery during traffic spikes?

Several event streaming platforms are well known for handling high throughput and providing durable delivery during traffic spikes:

• Apache Kafka — The most common choice for very high-throughput event streaming; durable storage, partitioning, replication, and strong ecosystem.
• Apache Pulsar — Also built for high throughput and durability; supports geo-replication and separates compute from storage, which can help with spikes.
• Amazon Kinesis Data Streams — Managed service designed for streaming at scale with durability and elastic ingestion.
• Google Cloud Pub/Sub — Highly scalable, durable pub/sub service that handles bursty traffic well.
• Azure Event Hubs — A managed streaming platform with Kafka-compatible endpoints, good for high-volume ingestion and retention.
• Redpanda — Kafka-compatible, optimized for low latency and high throughput, often used where Kafka performance is needed with simpler operations.
• NATS JetStream — Good for durable messaging and high fan-out, though typically more associated with lightweight, low-latency messaging than massive log-style streaming.
• IBM MQ / RabbitMQ with clustering and persistence — Can provide durable delivery, but usually not the first pick for extreme event-stream throughput compared with Kafka/Pulsar.

If you want, I can also rank these by:

1. throughput,
2. durability guarantees, or
3. ease of operations / managed service options.